China
CHN
Great Wall of China · Photo: Severin.stalder /
CC BY-SA 3.0
via Wikimedia Commons
268,704
Records
31
Datasets
78
Tables
17
Sources
380
SEL Fields
57
CCL Fields
📋
Most recent national census: 2020.
Not yet carried in HERA —
China has held a national census; HERA simply doesn't carry it on
this page yet (the source may be access-restricted, PDF-only, or not yet ingested). Its
absence here does not mean no census was taken.
📊 Latest intercensal survey:
2025 — 1% national population sample survey
(a sample survey between full censuses, not a complete enumeration)
Loading overview…
Datasets (31)
SEL — DGIWG Statistical Extent Location
SEL+ — Platform extension (not in DGIWG core spec)
CCL — DGIWG Cultural Context Location
Extension — Preserved in extension tables (not in core SEL/CCL schema)
Pending — Awaiting mapping
CHN China - Economic, Social, Environmental, Health, E
CHN-HDX-China_-_Economic,_Social,_Environme
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China - Economic, Social, Environmental, Health, E
— 71,622 rows, 2,732 columns
Loading data…
Field details — 2732 fields (type, nulls, unique, samples)
Extension Fields (2732)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Fertilizer_consumption_pct_of_fertilizer_production |
Fertilizer_consumption_pct_of_fertilizer_production | float | 0% | 1 | 92.0312777126008 |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land | float | 0% | 1 | 394.019742296898 |
Agricultural_land_sq._km |
Agricultural_land_sq._km | float | 0% | 1 | 5204130.0 |
Agricultural_land_pct_of_land_area |
Agricultural_land_pct_of_land_area | float | 0% | 1 | 55.4326117545304 |
Arable_land_hectares |
Arable_land_hectares | float | 0% | 1 | 108427100.0 |
Arable_land_hectares_per_person |
Arable_land_hectares_per_person | float | 0% | 1 | 0.0768599499542783 |
Arable_land_pct_of_land_area |
Arable_land_pct_of_land_area | float | 0% | 1 | 11.5492836227566 |
Land_under_cereal_production_hectares |
Land_under_cereal_production_hectares | float | 0% | 1 | 99987255.0 |
Permanent_cropland_pct_of_land_area |
Permanent_cropland_pct_of_land_area | float | 0% | 1 | 2.04010136117535 |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 42639.9398719 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 0.461168344660781 |
Forest_area_sq._km |
Forest_area_sq._km | float | 0% | 1 | 2256168.9 |
Forest_area_pct_of_land_area |
Forest_area_pct_of_land_area | float | 0% | 1 | 24.0319389958256 |
Average_precipitation_in_depth_mm_per_year |
Average_precipitation_in_depth_mm_per_year | float | 0% | 1 | 645.0 |
Land_area_sq._km |
Land_area_sq._km | float | 0% | 1 | 9388210.0 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 8723723.0597445 |
Cereal_production_metric_tons |
Cereal_production_metric_tons | float | 0% | 1 | 641731705.88 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 111.85 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 111.75 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 109.5 |
Surface_area_sq._km |
Surface_area_sq._km | float | 0% | 1 | 9562910.0 |
Cereal_yield_kg_per_hectare |
Cereal_yield_kg_per_hectare | float | 0% | 1 | 6418.1 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 0.525493494671787 |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal | float | 0% | 1 | 62.14454059 |
Agriculture_forestry_and_fishing_value_added_current_USusd |
Agriculture_forestry_and_fishing_value_added_current_USusd | float | 0% | 1 | 1270079880349.97 |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP | float | 0% | 1 | 6.77599881291286 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 18.6826526976472 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 24.1934332847983 |
| +2702 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN Hong Kong SAR, China - Economic, Social, Environme
CHN-HDX-Hong_Kong_SAR,_China_-_Economic,_So
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Hong Kong Sar, China - Economic, Social, Environme
— 63,017 rows, 1,738 columns
Loading data…
Field details — 1738 fields (type, nulls, unique, samples)
Extension Fields (1738)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land | float | 0% | 1 | 484.0 |
Agricultural_land_sq._km |
Agricultural_land_sq._km | float | 0% | 1 | 40.0 |
Agricultural_land_pct_of_land_area |
Agricultural_land_pct_of_land_area | float | 0% | 1 | 3.80952380952381 |
Arable_land_hectares |
Arable_land_hectares | float | 0% | 1 | 2000.0 |
Arable_land_hectares_per_person |
Arable_land_hectares_per_person | float | 0% | 1 | 0.00026538925969666 |
Arable_land_pct_of_land_area |
Arable_land_pct_of_land_area | float | 0% | 1 | 1.9047619047619 |
Land_under_cereal_production_hectares |
Land_under_cereal_production_hectares | float | 0% | 1 | 0.0 |
Permanent_cropland_pct_of_land_area |
Permanent_cropland_pct_of_land_area | float | 0% | 1 | 0.952380952380952 |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 74.9537466205 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 6.76533067761933 |
Land_area_sq._km |
Land_area_sq._km | float | 0% | 1 | 1050.0 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 591.19585189281 |
Cereal_production_metric_tons |
Cereal_production_metric_tons | float | 0% | 1 | 0.06 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 101.49 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 141.66 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 149.97 |
Surface_area_sq._km |
Surface_area_sq._km | float | 0% | 1 | 1110.0 |
Cereal_yield_kg_per_hectare |
Cereal_yield_kg_per_hectare | float | 0% | 1 | 2059.0 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 0.555621452880751 |
Agriculture_forestry_and_fishing_value_added_current_USusd |
Agriculture_forestry_and_fishing_value_added_current_USusd | float | 0% | 1 | 152361025.665208 |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP | float | 0% | 1 | 0.0374477102095245 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 0.104659514309261 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 0.264712552443588 |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 0.182377495822408 |
Rural_population |
Rural_population | float | 0% | 1 | 0.0 |
Rural_population_growth_annual_pct |
Rural_population_growth_annual_pct | float | 0% | 1 | -172.328531479259 |
Rural_population_pct_of_total_population |
Rural_population_pct_of_total_population | float | 0% | 1 | 0.0 |
Agricultural_raw_materials_imports_pct_of_merchandise_imports |
Agricultural_raw_materials_imports_pct_of_merchandise_imports | float | 0% | 1 | 0.0913335982064106 |
| +1708 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN Macao SAR, China - Economic, Social, Environmental
CHN-HDX-Macao_SAR,_China_-_Economic,_Social
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Macao Sar, China - Economic, Social, Environmental
— 54,232 rows, 1,617 columns
Loading data…
Field details — 1617 fields (type, nulls, unique, samples)
Extension Fields (1617)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 3.57163106359 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 14.095617461755 |
Land_area_sq._km |
Land_area_sq._km | float | 0% | 1 | 33.0 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 7.5741654768354 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 103.18 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 81.34 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 73.39 |
Surface_area_sq._km |
Surface_area_sq._km | float | 0% | 1 | 33.0 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 0.772778435373717 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 0.33160896670646 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 0.417951590992474 |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 0.373797814869546 |
Rural_population |
Rural_population | float | 0% | 1 | 0.0 |
Rural_population_growth_annual_pct |
Rural_population_growth_annual_pct | float | 0% | 1 | -120.397280432594 |
Rural_population_pct_of_total_population |
Rural_population_pct_of_total_population | float | 0% | 1 | 0.0 |
Agricultural_raw_materials_imports_pct_of_merchandise_imports |
Agricultural_raw_materials_imports_pct_of_merchandise_imports | float | 0% | 1 | 0.142749528079388 |
Agricultural_raw_materials_exports_pct_of_merchandise_exports |
Agricultural_raw_materials_exports_pct_of_merchandise_exports | float | 0% | 1 | 0.408785558205904 |
Grants_excluding_technical_cooperation_BoP_current_USusd |
Grants_excluding_technical_cooperation_BoP_current_USusd | float | 0% | 1 | 0.0 |
Technical_cooperation_grants_BoP_current_USusd |
Technical_cooperation_grants_BoP_current_USusd | float | 0% | 1 | 320000.0 |
Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_European_Union_institutions_current_USus |
Net_bilateral_aid_flows_from_DAC_donors_European_Union_institutions_current_USus | float | 0% | 1 | 360000.014305115 |
Net_bilateral_aid_flows_from_DAC_donors_Switzerland_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Switzerland_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_Germany_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Germany_current_USusd | float | 0% | 1 | 19999.9995529652 |
Net_bilateral_aid_flows_from_DAC_donors_France_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_France_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_Japan_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Japan_current_USusd | float | 0% | 1 | 209999.993443489 |
Net_bilateral_aid_flows_from_DAC_donors_Netherlands_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Netherlands_current_USusd | float | 0% | 1 | 70000.0002980232 |
Net_bilateral_aid_flows_from_DAC_donors_Norway_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Norway_current_USusd | float | 0% | 1 | 50000.0007450581 |
Net_bilateral_aid_flows_from_DAC_donors_Portugal_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Portugal_current_USusd | float | 0% | 1 | 70000.0002980232 |
| +1587 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN China - Health Indicators
CHN-HDX-China_-_Health_Indicators
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China - Health Indicators
— 21,079 rows, 17 columns
Loading data…
Field details — 17 fields (type, nulls, unique, samples)
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
GHO (CODE) |
GHO (CODE) | string | 0% | 67 | AIR_35, AIR_90, MORT_100,... |
GHO (DISPLAY) |
GHO (DISPLAY) | string | 0% | 67 | Joint effects of air pollution attributable deaths,... |
GHO (URL) |
GHO (URL) | string | 0% | 67 | https://www.who.int/data/gho/data/indicators/indicator-de... |
YEAR (DISPLAY) |
YEAR (DISPLAY) | string | 0% | 36 | 2018, 2016, 2005, 2002, 1988 |
STARTYEAR |
STARTYEAR | string | 0% | 36 | 2018, 2016, 2005, 2002, 1988 |
ENDYEAR |
ENDYEAR | string | 0% | 36 | 2018, 2016, 2005, 2002, 1988 |
REGION (CODE) |
REGION (CODE) | string | 0% | 1 | WPR, WPR, WPR, WPR, WPR |
REGION (DISPLAY) |
REGION (DISPLAY) | string | 0% | 1 | Western Pacific, Western Pacific, Western Pacific,... |
COUNTRY (CODE) |
COUNTRY (CODE) | string | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
COUNTRY (DISPLAY) |
COUNTRY (DISPLAY) | string | 0% | 1 | China, China, China, China, China |
DIMENSION (TYPE) |
DIMENSION (TYPE) | string | 16% | 12 | SEX, SEX, SEX, RESIDENCEAREATYPE, SEX |
DIMENSION (CODE) |
DIMENSION (CODE) | string | 16% | 29 | SEX_MLE, SEX_FMLE, SEX_BTSX, RESIDENCEAREATYPE_TOTL, SEX_MLE |
DIMENSION (NAME) |
DIMENSION (NAME) | string | 16% | 27 | Male, Female, Both sexes, Total, Male |
Numeric |
Numeric | string | 14% | 77 | 44691.668, 348.371, 1267.40388, 57.2, 45.36125162 |
Value |
Value | string | 0% | 85 | 44 692 [34 228-56 945], 348 [243-439], 1267.4, 57.2 [43... |
Low |
Low | float | 51% | 44 | 34228.413, 243.092, 43.0, 40.960643219, 0.0 |
High |
High | float | 51% | 49 | 56944.818, 438.831, 71.5, 50.232530613, 5.8 |
CHN Hong Kong SAR, China - Education
CHN-HDX-Hong_Kong_SAR,_China_-_Education
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Hong Kong Sar, China - Education
— 16,063 rows, 836 columns
Loading data…
Field details — 836 fields (type, nulls, unique, samples)
Extension Fields (836)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education | float | 0% | 1 | 7.54 |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education | float | 0% | 1 | 5.38 |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education | float | 0% | 1 | 0.11 |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education | float | 0% | 1 | 8.71 |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education | float | 0% | 1 | 6.28 |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education | float | 0% | 1 | 0.31 |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education | float | 0% | 1 | 0.22 |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education | float | 0% | 1 | 0.59 |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education | float | 0% | 1 | 0.45 |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education | float | 0% | 1 | 0.59 |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education | float | 0% | 1 | 0.45 |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education | float | 0% | 1 | 2.25 |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education | float | 0% | 1 | 1.49 |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education | float | 0% | 1 | 2.25 |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education | float | 0% | 1 | 1.49 |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education | float | 0% | 1 | 8.06 |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education | float | 0% | 1 | 5.39 |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education | float | 0% | 1 | 8.06 |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education | float | 0% | 1 | 5.39 |
Barro-Lee:_Population_in_thousands_age_15-19_total |
Barro-Lee:_Population_in_thousands_age_15-19_total | float | 0% | 1 | 401.0 |
Barro-Lee:_Population_in_thousands_age_15-19_female |
Barro-Lee:_Population_in_thousands_age_15-19_female | float | 0% | 1 | 200.0 |
Barro-Lee:_Population_in_thousands_age_15+_total |
Barro-Lee:_Population_in_thousands_age_15+_total | float | 0% | 1 | 6429.0 |
Barro-Lee:_Population_in_thousands_age_15+_female |
Barro-Lee:_Population_in_thousands_age_15+_female | float | 0% | 1 | 3451.0 |
Barro-Lee:_Population_in_thousands_age_20-24_total |
Barro-Lee:_Population_in_thousands_age_20-24_total | float | 0% | 1 | 450.0 |
| +806 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN Macao SAR, China - Education
CHN-HDX-Macao_SAR,_China_-_Education
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Macao Sar, China - Education
— 15,578 rows, 826 columns
Loading data…
Field details — 826 fields (type, nulls, unique, samples)
Extension Fields (826)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education | float | 0% | 1 | 0.14 |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education | float | 0% | 1 | 0.12 |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education | float | 0% | 1 | 4.43 |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education | float | 0% | 1 | 3.46 |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education | float | 0% | 1 | 2.98 |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education | float | 0% | 1 | 4.44 |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education | float | 0% | 1 | 0.18 |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education | float | 0% | 1 | 0.11 |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education | float | 0% | 1 | 5.13 |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education | float | 0% | 1 | 3.75 |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education | float | 0% | 1 | 0.13 |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education | float | 0% | 1 | 0.15 |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education | float | 0% | 1 | 0.57 |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education | float | 0% | 1 | 0.58 |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education | float | 0% | 1 | 0.93 |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education | float | 0% | 1 | 0.75 |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education | float | 0% | 1 | 1.31 |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education | float | 0% | 1 | 1.04 |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education | float | 0% | 1 | 4.32 |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education | float | 0% | 1 | 2.87 |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education | float | 0% | 1 | 5.45 |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education | float | 0% | 1 | 3.7 |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education | float | 0% | 1 | 10.04 |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education | float | 0% | 1 | 6.61 |
Barro-Lee:_Population_in_thousands_age_15-19_total |
Barro-Lee:_Population_in_thousands_age_15-19_total | float | 0% | 1 | 35.0 |
Barro-Lee:_Population_in_thousands_age_15-19_female |
Barro-Lee:_Population_in_thousands_age_15-19_female | float | 0% | 1 | 17.0 |
Barro-Lee:_Population_in_thousands_age_15+_total |
Barro-Lee:_Population_in_thousands_age_15+_total | float | 0% | 1 | 416.0 |
Barro-Lee:_Population_in_thousands_age_15+_female |
Barro-Lee:_Population_in_thousands_age_15+_female | float | 0% | 1 | 218.0 |
Barro-Lee:_Population_in_thousands_age_20-24_total |
Barro-Lee:_Population_in_thousands_age_20-24_total | float | 0% | 1 | 43.0 |
| +796 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN Hong Kong SAR, China - Gender
CHN-HDX-Hong_Kong_SAR,_China_-_Gender
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Hong Kong Sar, China - Gender
— 4,055 rows, 135 columns
Loading data…
Field details — 135 fields (type, nulls, unique, samples)
Extension Fields (135)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Firms_with_female_top_manager_pct_of_firms |
Firms_with_female_top_manager_pct_of_firms | float | 0% | 1 | 43.64096451 |
Firms_with_female_participation_in_ownership_pct_of_firms |
Firms_with_female_participation_in_ownership_pct_of_firms | float | 0% | 1 | 37.14170837 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.042799949646 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.01925003528595 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.994069993495941 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.09234325401374 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 96.0097808837891 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 91.5473098754883 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 90.7207792207792 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 92.5840978593272 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 100.0 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 100.0 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 100.0 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 47.79839 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 101.573264781491 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 104.650822669104 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 117.2294 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 110.50432 |
School_enrollment_primary_female_pct_net |
School_enrollment_primary_female_pct_net | float | 0% | 1 | 94.16782 |
School_enrollment_primary_male_pct_net |
School_enrollment_primary_male_pct_net | float | 0% | 1 | 93.46964 |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population | float | 0% | 1 | 89.06373 |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population | float | 0% | 1 | 81.05459 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 96.778450012207 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 98.3544082641602 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 94.8337097167969 |
Persistence_to_last_grade_of_primary_male_pct_of_cohort |
Persistence_to_last_grade_of_primary_male_pct_of_cohort | float | 0% | 1 | 96.2746887207031 |
Repeaters_primary_female_pct_of_female_enrollment |
Repeaters_primary_female_pct_of_female_enrollment | float | 0% | 1 | 0.36839 |
Repeaters_primary_male_pct_of_male_enrollment |
Repeaters_primary_male_pct_of_male_enrollment | float | 0% | 1 | 0.43317 |
Trained_teachers_in_primary_education_female_pct_of_female_teachers |
Trained_teachers_in_primary_education_female_pct_of_female_teachers | float | 0% | 1 | 94.0331799804824 |
| +105 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN China - Gender
CHN-HDX-China_-_Gender
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China - Gender
— 3,948 rows, 157 columns
Loading data…
Field details — 157 fields (type, nulls, unique, samples)
Extension Fields (157)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Firms_with_female_top_manager_pct_of_firms |
Firms_with_female_top_manager_pct_of_firms | float | 0% | 1 | 19.59796906 |
Firms_with_female_participation_in_ownership_pct_of_firms |
Firms_with_female_participation_in_ownership_pct_of_firms | float | 0% | 1 | 43.99720764 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 | float | 0% | 1 | 99.7600021362305 |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI | float | 0% | 1 | 1.0 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 | float | 0% | 1 | 99.75 |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above | float | 0% | 1 | 95.0500030517578 |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above | float | 0% | 1 | 98.379997253418 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.00856995582581 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.01161003112793 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.996550023555756 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.13814000492912 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 93.5752716064453 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 92.6212310791016 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 103.93893921564 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 103.038399540957 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 93.7399978637695 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 97.9000015258789 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 95.8399963378906 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 46.47985 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 100.682731254959 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 98.7425594135002 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 103.25703 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 101.9667 |
School_enrollment_primary_female_pct_net |
School_enrollment_primary_female_pct_net | float | 0% | 1 | 88.3706 |
School_enrollment_primary_male_pct_net |
School_enrollment_primary_male_pct_net | float | 0% | 1 | 90.26422 |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population | float | 0% | 1 | 82.97871 |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population | float | 0% | 1 | 81.86279 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 99.7389678955078 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 99.8268203735352 |
| +127 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN Macao SAR, China - Gender
CHN-HDX-Macao_SAR,_China_-_Gender
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Macao Sar, China - Gender
— 3,714 rows, 131 columns
Loading data…
Field details — 131 fields (type, nulls, unique, samples)
Extension Fields (131)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Literacy_rate_youth_female_pct_of_females_ages_15-24 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 | float | 0% | 1 | 99.870002746582 |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI | float | 0% | 1 | 1.0 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 | float | 0% | 1 | 99.7300033569336 |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above | float | 0% | 1 | 95.0299987792969 |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above | float | 0% | 1 | 98.1900024414062 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.978659987449646 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.98633998632431 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.996479988098145 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.10614641930701 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 84.9695281982422 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 87.769660949707 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 93.9090909090909 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 94.3243243243243 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 87.8000030517578 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 92.0599975585938 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 89.8300018310547 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 48.17859 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 89.8774509803922 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 89.7488789237668 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 95.57895 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 93.60158 |
School_enrollment_primary_female_pct_net |
School_enrollment_primary_female_pct_net | float | 0% | 1 | 96.39243 |
School_enrollment_primary_male_pct_net |
School_enrollment_primary_male_pct_net | float | 0% | 1 | 96.39843 |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population | float | 0% | 1 | 91.15789 |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population | float | 0% | 1 | 88.29156 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 99.2282485961914 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 99.8556213378906 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 99.1962509155273 |
Persistence_to_last_grade_of_primary_male_pct_of_cohort |
Persistence_to_last_grade_of_primary_male_pct_of_cohort | float | 0% | 1 | 99.4566497802734 |
| +101 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN ASPECT — 100 m Age-Stratified Population from the 2020 China Census (Ju et al., Sci Data 2025)
CHN-ASPECT
Modeled Population
2,399 rows · 2 table(s)
ASPECT — 100 m Age-Stratified Population from the 2020 China Census (Ju et al., Sci Data 2025)
0
1
2
3
12 SEL
▶
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
CHN Aspect - Population Admin1 (admin_1)
— 31 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
geoBoundaries admin unit ID | string | SEL | 0% | 31 | 43563684B38891657012300, 43563684B96917371447908,... |
admin_name |
Admin unit name | string | SEL | 0% | 31 | Guangdong Province, Henan Province, Shandong Province,... |
T_TL |
Total population (2020 census, modeled) | integer | SEL | 0% | 31 | 116117501, 103504941, 94910451, 85426917, 83540956 |
pop_0_14 |
Population aged 0-14 (2020 census, modeled) | integer | SEL | 0% | 31 | 22195625, 23945096, 17772329, 13756686, 12739232 |
pop_15_64 |
Population aged 15-64 (2020 census, modeled) | integer | SEL | 0% | 31 | 83617671, 65590942, 62758831, 57214625, 57366005 |
pop_65_plus |
Population aged 65+ (2020 census, modeled) | integer | SEL | 0% | 31 | 10304205, 13968903, 14379291, 14455606, 13435719 |
Pending (3) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
aspect_15_59 |
Population aged 15-59 (2020 census, modeled) | integer | 0% | 31 | 79134470, 60856285, 57282437, 53137575, 52652897 |
aspect_60_64 |
Population aged 60-64 (2020 census, modeled) | integer | 0% | 31 | 4483202, 4734657, 5476394, 4077051, 4713108 |
admin_level |
Administrative level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
2
Admin 2
— 1 table(s)
CHN Aspect - Population Admin2 (admin_2)
— 2,368 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
geoBoundaries admin unit ID | string | SEL | 0% | 100 | 17275852B82708605205805, 17275852B40522342172572,... |
admin_name |
Admin unit name | string | SEL | 0% | 100 | Shanghaishi, Beijingshi, Shenzhenxian, Guangzhoushi, Wuhanshi |
T_TL |
Total population (2020 census, modeled) | integer | SEL | 0% | 100 | 13796984, 12609921, 12396715, 11859115, 10323698 |
pop_0_14 |
Population aged 0-14 (2020 census, modeled) | integer | SEL | 0% | 100 | 1352799, 1505059, 1799260, 1469217, 1300697 |
pop_15_64 |
Population aged 15-64 (2020 census, modeled) | integer | SEL | 0% | 100 | 10033043, 9250994, 10298314, 9393169, 7863187 |
pop_65_plus |
Population aged 65+ (2020 census, modeled) | integer | SEL | 0% | 100 | 2411142, 1853868, 299141, 996729, 1159814 |
Pending (3) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
aspect_15_59 |
Population aged 15-59 (2020 census, modeled) | integer | 0% | 100 | 8963688, 8407349, 10072835, 8938553, 7301975 |
aspect_60_64 |
Population aged 60-64 (2020 census, modeled) | integer | 0% | 100 | 1069355, 843645, 225478, 454616, 561212 |
admin_level |
Administrative level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
CHN LandScan Global (ORNL)
CHN-LANDSCAN
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN LandScan - Population Admin0 (admin_0)
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | China |
admin_code |
Admin code | string | SEL | 0% | 1 | 351020B83567386155957 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 9481443.6475 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 1416619720 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 149.41 |
1
Admin 1
— 1 table(s)
CHN LandScan - Population Admin1 (admin_1)
— 34 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 34 | Henan Province, Guangzhou Province, Shandong Province,... |
admin_code |
Admin code | string | SEL | 0% | 34 | 43563684B96917371447908, 43563684B38891657012300,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 34 | 166238.359, 180002.4365, 151156.5736, 483501.9625, 97814.4381 |
pop_2024 |
Population count | integer | SEL | 0% | 34 | 104172436, 103921764, 95111552, 85954603, 81803578 |
pop_density_2024 |
Population density | float | SEL | 0% | 34 | 626.64, 577.34, 629.23, 177.78, 836.31 |
Locality
Locality
— 1 table(s)
CHN LandScan - Cities (locality)
— 1,974 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | Guangzhou, Shanghai, Beijing, Shantou, Suzhou |
admin_code |
Admin code | integer | SEL | 0% | 100 | 10933, 11345, 8745, 11407, 11199 |
area_sqkm |
Area sqkm | float | SEL | 0% | 100 | 6423.8035, 3118.2531, 2176.4202, 1951.9985, 1796.4524 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 36895550, 20917787, 14784609, 8816799, 7439805 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 5743.57, 6708.17, 6793.09, 4516.81, 4141.39 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 42987704, 30678616, 18150576, 10579303, 11540430 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 92 | 0.858, 0.682, 0.815, 0.833, 0.645 |
CHN GHS Urban Centre Database (EU JRC)
CHN-GHSL_UCDB
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
Locality
Locality
— 1 table(s)
CHN GHS-UCDB - Cities (locality)
— 1,974 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 98 | Guangzhou, Shanghai, Beijing, Suzhou, Shantou |
country_code |
Country code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
population |
Population count | integer | SEL | 0% | 100 | 42987704, 30678616, 18150576, 11540430, 10579303 |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 10933, 11345, 8745, 11199, 11407 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | China, China, China, China, China |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
CHN GHS Urban Centre Database — Profile (EU JRC)
CHN-GHSL_UCDB_PROFILE
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
Locality
Locality
— 1 table(s)
CHN Ghsl Ucdb Profile - Urban Profile (locality)
— 1,974 rows, 15 columns
Loading data…
Field details — 15 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
urban_centre_id |
GHS-UCDB urban-centre ID | integer | SEL | 0% | 100 | 10933, 11345, 8745, 11199, 11407 |
urban_centre_name |
Urban centre name | string | SEL | 0% | 98 | Guangzhou, Shanghai, Beijing, Suzhou, Shantou |
country_code |
ISO 3166-1 alpha-3 country code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
population_2025 |
Resident population (2025, modeled) | float | SEL | 0% | 100 | 42987704.0, 30678616.2, 18150575.8, 11540429.5, 10579302.5 |
area_sqkm |
Urban centre area (sq km) | float | SEL | 0% | 87 | 6454.0, 3128.0, 2179.0, 1802.0, 1961.0 |
population_density_2025 |
Population density (persons per sq km, 2025) | float | SEL | 0% | 100 | 6660.6, 9807.7, 8329.8, 6404.2, 5394.9 |
Pending (9) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
name_local |
Urban centre name (native script) | string | 100% | - | - |
country_name |
Country name | string | 0% | 1 | China, China, China, China, China |
built_up_total_sqm_2025 |
Built-up surface, total (sq m, 2025) | integer | 0% | 100 | 1395959307, 718029348, 556610117, 402633886, 332661794 |
built_up_residential_sqm_2025 |
Built-up surface, residential (sq m, 2025) | integer | 0% | 100 | 1173246596, 601977146, 485129765, 324018046, 321243981 |
income_group |
World Bank income group | string | 0% | 1 | Upper Middle, Upper Middle, Upper Middle, Upper Middle,... |
un_subregion |
UN geographic sub-region | string | 0% | 1 | Eastern and South-Eastern Asia, Eastern and... |
first_built_year |
Year first built-up area detected | integer | 0% | 4 | 1975, 1975, 1975, 1975, 1975 |
is_capital |
National capital (1 = capital city) | integer | 0% | 2 | 0, 0, 1, 0, 0 |
admin_level |
Spatial entity level | string | 0% | 1 | locality, locality, locality, locality, locality |
CHN China - Demographic, Health, Education and Transpo
CHN-HDX-China_-_Demographic,_Health,_Educat
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China - Demographic, Health, Education And Transpo
— 1,383 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
category |
category | string | 0% | 7 | City prosperity, City prosperity, Streets, Crime, Crime |
indicator |
indicator | string | 0% | 27 | cpi_4_dimensions, cpi_4_dimensions,... |
indicator_friendly |
indicator_friendly | string | 0% | 27 | City Prosperity Index with 4 dimensions, City Prosperity... |
type_data |
type_data | string | 0% | 5 | p, p, n, 000 population, 000 population |
latitude |
latitude | string | 0% | 8 | 39.928892, 31.216452, 35, n, n |
longitude |
longitude | string | 0% | 8 | 116.388286, 121.436505, 105, 35, 35 |
region_id |
region_id | string | 0% | 2 | 789, 789, 789, 105, 105 |
country_id |
country_id | string | 0% | 2 | CN, CN, CN, 789, 789 |
name |
name | string | 0% | 8 | Beijing, Shanghai, China, CN, CN |
year |
year | string | 0% | 23 | 2012, 2012, 2009, China, China |
value |
value | string | 0% | 88 | 0.762, 0.832, 40, 2000, 1999 |
CHN Global Data Lab
CHN-GDL
Development Indices
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
CHN GDL - Subnational Indices
— 1,141 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 33 | China, Anhui, Beijing, Chongqing, Fujian |
human_development_index |
Human development index | float | SEL | 0% | 82 | 0.531, 0.488, 0.673, 0.51, 0.532 |
health_index |
Health index | float | SEL | 0% | 87 | 0.741, 0.752, 0.803, 0.786, 0.738 |
education_index |
Education index | float | SEL | 0% | 43 | 0.478, 0.441, 0.657, 0.45, 0.451 |
income_index |
Income index | float | SEL | 0% | 80 | 0.423, 0.351, 0.578, 0.375, 0.452 |
life_expectancy |
Life expectancy | float | SEL | 0% | 99 | 68.16, 68.86, 72.21, 71.09, 67.95 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 97 | 7.171, 6.609, 9.857, 6.756, 6.764 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 4 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 1 | subnational, subnational, subnational, subnational, subnational |
CHN China - Human Development Indicators
CHN-HDX-China_-_Human_Development_Indicator
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China - Human Development Indicators
— 940 rows, 46 columns
Loading data…
Field details — 46 fields (type, nulls, unique, samples)
Extension Fields (46)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
abr |
abr | float | 0% | 1 | 5.227 |
assets |
assets | float | 0% | 1 | 2.977 |
child_mortality |
child_mortality | float | 0% | 1 | 0.371 |
co2_prod |
co2_prod | float | 0% | 1 | 8.349 |
coef_ineq |
coef_ineq | float | 0% | 1 | 15.243 |
cooking_fuel |
cooking_fuel | float | 0% | 1 | 11.496 |
diff_hdi_phdi |
diff_hdi_phdi | float | 0% | 1 | 19.197 |
drinking_water |
drinking_water | float | 0% | 1 | 7.363 |
electricity |
electricity | float | 0% | 1 | 0.13 |
eys |
eys | float | 0% | 1 | 15.479 |
eys_f |
eys_f | float | 0% | 1 | 15.952 |
eys_m |
eys_m | float | 0% | 1 | 15.068 |
gdi_group |
gdi_group | float | 0% | 1 | 1.0 |
gii_rank |
gii_rank | float | 0% | 1 | 41.0 |
gni_pc_f |
gni_pc_f | float | 0% | 1 | 16257.194 |
gni_pc_m |
gni_pc_m | float | 0% | 1 | 27579.501 |
gnipc |
gnipc | float | 0% | 1 | 22029.223 |
hdi_f |
hdi_f | float | 0% | 1 | 0.786 |
hdi_m |
hdi_m | float | 0% | 1 | 0.806 |
hdi_rank |
hdi_rank | float | 0% | 1 | 78.0 |
ineq_edu |
ineq_edu | float | 0% | 1 | 10.293 |
ineq_inc |
ineq_inc | float | 0% | 1 | 30.288 |
ineq_le |
ineq_le | float | 0% | 1 | 5.147 |
le |
le | float | 0% | 1 | 77.953 |
le_f |
le_f | float | 0% | 1 | 80.926 |
le_m |
le_m | float | 0% | 1 | 75.201 |
lfpr_f |
lfpr_f | float | 0% | 1 | 54.6 |
lfpr_m |
lfpr_m | float | 0% | 1 | 75.57 |
loss |
loss | float | 0% | 1 | 15.935 |
| +16 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN China, Hong Kong Special Administrative Region - H
CHN-HDX-China,_Hong_Kong_Special_Administra
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China, Hong Kong Special Administrative Region - H
— 758 rows, 17 columns
Loading data…
Field details — 17 fields (type, nulls, unique, samples)
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
GHO (CODE) |
GHO (CODE) | string | 0% | 28 | WHS3_56, TB_c_newinc, WHS3_46, WHS3_57, WHS3_56 |
GHO (DISPLAY) |
GHO (DISPLAY) | string | 0% | 28 | Neonatal tetanus - number of reported cases,... |
GHO (URL) |
GHO (URL) | string | 0% | 28 | https://www.who.int/data/gho/data/indicators/indicator-de... |
YEAR (DISPLAY) |
YEAR (DISPLAY) | string | 0% | 36 | 2015, 2001, 1980, 1999, 1995 |
STARTYEAR |
STARTYEAR | string | 0% | 36 | 2015, 2001, 1980, 1999, 1995 |
ENDYEAR |
ENDYEAR | string | 0% | 36 | 2015, 2001, 1980, 1999, 1995 |
REGION (CODE) |
REGION (CODE) | string | 100% | - | - |
REGION (DISPLAY) |
REGION (DISPLAY) | string | 100% | - | - |
COUNTRY (CODE) |
COUNTRY (CODE) | string | 0% | 1 | HKG, HKG, HKG, HKG, HKG |
COUNTRY (DISPLAY) |
COUNTRY (DISPLAY) | string | 0% | 1 | China, Hong Kong Special Administrative Region, China,... |
DIMENSION (TYPE) |
DIMENSION (TYPE) | string | 91% | 1 | SEX, SEX, SEX, SEX, SEX |
DIMENSION (CODE) |
DIMENSION (CODE) | string | 91% | 1 | SEX_FMLE, SEX_FMLE, SEX_FMLE, SEX_FMLE, SEX_FMLE |
DIMENSION (NAME) |
DIMENSION (NAME) | string | 91% | 1 | Female, Female, Female, Female, Female |
Numeric |
Numeric | float | 0% | 64 | 0.0, 6788.0, 15.0, 53.0, 0.0 |
Value |
Value | string | 0% | 67 | 0, 6788, 15, 53, 0 |
Low |
Low | float | 81% | 18 | 4000.0, 0.41, 0.29, 90.0, 12000.0 |
High |
High | float | 81% | 16 | 5900.0, 0.67, 0.67, 180.0, 17000.0 |
CHN China, Macao Special Administrative Region - Healt
CHN-HDX-China,_Macao_Special_Administrative
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China, Macao Special Administrative Region - Healt
— 728 rows, 17 columns
Loading data…
Field details — 17 fields (type, nulls, unique, samples)
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
GHO (CODE) |
GHO (CODE) | string | 0% | 29 | TB_c_dst_rlt_ret_pct, WHS3_50, TB_c_xdr_tsr,... |
GHO (DISPLAY) |
GHO (DISPLAY) | string | 0% | 29 | Previously treated cases tested for RR-/MDR-TB (%),... |
GHO (URL) |
GHO (URL) | string | 0% | 29 | https://www.who.int/data/gho/data/indicators/indicator-de... |
YEAR (DISPLAY) |
YEAR (DISPLAY) | string | 0% | 36 | 2014, 2009, 2015, 2020, 2021 |
STARTYEAR |
STARTYEAR | string | 0% | 36 | 2014, 2009, 2015, 2020, 2021 |
ENDYEAR |
ENDYEAR | string | 0% | 36 | 2014, 2009, 2015, 2020, 2021 |
REGION (CODE) |
REGION (CODE) | string | 100% | - | - |
REGION (DISPLAY) |
REGION (DISPLAY) | string | 100% | - | - |
COUNTRY (CODE) |
COUNTRY (CODE) | string | 0% | 1 | MAC, MAC, MAC, MAC, MAC |
COUNTRY (DISPLAY) |
COUNTRY (DISPLAY) | string | 0% | 1 | China, Macao Special Administrative Region, China, Macao... |
DIMENSION (TYPE) |
DIMENSION (TYPE) | string | 98% | 1 | SEX, SEX |
DIMENSION (CODE) |
DIMENSION (CODE) | string | 98% | 1 | SEX_FMLE, SEX_FMLE |
DIMENSION (NAME) |
DIMENSION (NAME) | string | 98% | 1 | Female, Female |
Numeric |
Numeric | float | 0% | 49 | 79.0, 0.0, 0.0, 92.0, 0.0 |
Value |
Value | string | 0% | 55 | 79, 0, 0, 92, 0 |
Low |
Low | float | 78% | 17 | 0.0, 42.0, 0.0, 124.0, 480.0 |
High |
High | float | 78% | 21 | 8.0, 62.0, 11.0, 184.0, 720.0 |
CHN China - Urban Development
CHN-HDX-China_-_Urban_Development
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN China - Urban Development
— 621 rows, 18 columns
Loading data…
Field details — 18 fields (type, nulls, unique, samples)
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Urban_land_area_where_elevation_is_below_5_meters_sq._km |
Urban_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 32989.8003106 |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 0.3567981485348 |
Urban_land_area_sq._km |
Urban_land_area_sq._km | float | 0% | 1 | 522345.1853048 |
Access_to_electricity_urban_pct_of_urban_population |
Access_to_electricity_urban_pct_of_urban_population | float | 0% | 1 | 100.0 |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter | float | 0% | 1 | 34.8105237153218 |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p | float | 0% | 1 | 99.9982944622564 |
Population_density_people_per_sq._km_of_land_area |
Population_density_people_per_sq._km_of_land_area | float | 0% | 1 | 150.264001337848 |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 4.35330882386637 |
Population_living_in_slums_pct_of_urban_population |
Population_living_in_slums_pct_of_urban_population | float | 0% | 1 | 26.32091 |
Population_in_largest_city |
Population_in_largest_city | float | 0% | 1 | 30482140.0 |
Population_in_the_largest_city_pct_of_urban_population |
Population_in_the_largest_city_pct_of_urban_population | float | 0% | 1 | 3.26840706087884 |
Population_in_urban_agglomerations_of_more_than_1_million |
Population_in_urban_agglomerations_of_more_than_1_million | float | 0% | 1 | 460164024.0 |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio | float | 0% | 1 | 32.7339486002285 |
Mortality_caused_by_road_traffic_injury_per_100000_population |
Mortality_caused_by_road_traffic_injury_per_100000_population | float | 0% | 1 | 17.4 |
Urban_population_growth_annual_pct |
Urban_population_growth_annual_pct | float | 0% | 1 | 0.431708792065523 |
Urban_population |
Urban_population | float | 0% | 1 | 928439823.0 |
Urban_population_pct_of_total_population |
Urban_population_pct_of_total_population | float | 0% | 1 | 65.8946980998325 |
CHN Glottolog Language Catalog
CHN-GLOTTOLOG
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Glottolog - Languages
— 452 rows, 16 columns
Loading data…
Field details — 16 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | acha1249, ache1244, aich1238, ainu1251, akeu1235 |
name |
Name | string | CCL | 0% | 100 | Longchuan Achang, Ache, Ai-Cham, Ainu (China), Akeu |
iso639_3 |
Iso639 3 | string | CCL | 12% | 88 | acn, yif, aih, aib, aeu |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 11 | sino1245, sino1245, taik1256, turk1311, sino1245 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 86 | acha1252, uncl1517, maka1300, uigh1243, akeu1236 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 18 | ['CN', 'MM'], ['CN'], ['CN'], ['CN'], ['CN', 'LA', 'MM', 'TH'] |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 12 | 3, 0, 2, 2, 0 |
Extension Fields (3)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 1% | 98 | 24.3479, 24.152, 25.4908, 39.2714, 22.1959 |
longitude |
longitude | float | 1% | 98 | 97.7438, 102.446, 107.844, 76.4209, 101.0823 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
CHN Macao SAR, China - Urban Development
CHN-HDX-Macao_SAR,_China_-_Urban_Developmen
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Macao Sar, China - Urban Development
— 435 rows, 12 columns
Loading data…
Field details — 12 fields (type, nulls, unique, samples)
Extension Fields (12)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | CHN |
Urban_land_area_where_elevation_is_below_5_meters_sq._km |
Urban_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 8.30704187323 |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 32.7841488661865 |
Urban_land_area_sq._km |
Urban_land_area_sq._km | float | 0% | 1 | 17.764426984834 |
Access_to_electricity_urban_pct_of_urban_population |
Access_to_electricity_urban_pct_of_urban_population | float | 0% | 1 | 100.0 |
Population_density_people_per_sq._km_of_land_area |
Population_density_people_per_sq._km_of_land_area | float | 0% | 1 | 20569.696969697 |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 16.4565015811634 |
Population_in_largest_city |
Population_in_largest_city | float | 0% | 1 | 701381.0 |
Population_in_the_largest_city_pct_of_urban_population |
Population_in_the_largest_city_pct_of_urban_population | float | 0% | 1 | 100.0 |
Urban_population_growth_annual_pct |
Urban_population_growth_annual_pct | float | 0% | 1 | 1.2007758862278 |
Urban_population |
Urban_population | float | 0% | 1 | 687000.0 |
Urban_population_pct_of_total_population |
Urban_population_pct_of_total_population | float | 0% | 1 | 100.0 |
CHN National Bureau of Statistics of China
CHN-NBS
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 17 table(s)
CHN NBS - Census Population 2022
— 1 rows, 12 columns
Loading data…
Field details — 12 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN |
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_name |
Administrative unit name | string | 0% | 1 | China |
year |
Year | float | 0% | 1 | 2022 |
population_count |
Population (persons) | integer | 0% | 1 | 1411750000 |
urban_population |
Urban population | integer | 0% | 1 | 920710000 |
rural_population |
Rural population | integer | 0% | 1 | 491040000 |
population_male |
Male population | integer | 0% | 1 | 722060000 |
population_female |
Female population | integer | 0% | 1 | 689690000 |
population_0_14 |
Population aged 0–14 | integer | 0% | 1 | 256150000 |
population_15_64 |
Population aged 15–64 | integer | 0% | 1 | 875560000 |
population_60_plus |
Population aged 60 and over | integer | 0% | 1 | 280040000 |
population_65_plus |
Population aged 65 and over | integer | 0% | 1 | 209780000 |
CHN NBS - Economic Exports By Product
— 14 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
commodity_name |
Commodity name | string | 0% | 14 | Steel products, Textile yarn, fabrics & products,... |
unit |
Unit of measure | string | 0% | 7 | 10,000 tonnes, —, —, 10,000 pairs, — |
quantity |
Quantity | float | 0% | 9 | 6732, —, —, 929318, — |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 14 | 22.3, 4.9, 6.7, 24.4, -2.5 |
amount_100m_yuan |
Amount (¥100M) | float | 0% | 14 | 6427, 9836, 11713, 3844, 4639 |
CHN NBS - Economic Fdi By Industry
— 10 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
industry |
Industry | string | 0% | 10 | Total, of which: Agriculture, forestry, livestock &... |
enterprise_count |
Enterprise count | float | 0% | 10 | 38497, 420, 3570, 523, 602 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 10 | 6.3, 44.6, 46.1, 10.8, -1.1 |
actual_fdi_100m_yuan |
Actual foreign direct investment (¥100M) | float | 0% | 10 | 12327, 80, 3237, 276, 347 |
CHN NBS - Economic Finance Deposits
— 7 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 7 | Total deposits, of which: Domestic household deposits,... |
yearend_100m_yuan |
Year-end stock (¥100M) | float | 0% | 7 | 2644472, 1212110, 1203387, 779398, 2191029 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 7 | 10.8, 17.3, 17.4, 6.8, 10.4 |
CHN NBS - Economic Gdp Growth
— 10 rows, 4 columns
Loading data…
Field details — 4 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (3)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
industry |
Industry | string | 0% | 10 | Finance, Real estate, Leasing & business services,... |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 10 | 10.5, -8.4, 14.5, 21.0, 10.3 |
CHN NBS - Economic Imports By Product
— 13 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
commodity_name |
Commodity name | string | 0% | 13 | Soybeans, Edible vegetable oil, Iron ore & concentrates,... |
unit |
Unit of measure | string | 0% | 3 | 10,000 tonnes, 10,000 tonnes, 10,000 tonnes, 10,000... |
quantity |
Quantity | float | 0% | 13 | 9108, 648, 110686, 29320, 50828 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 13 | 18.1, -14.1, -27.9, 22.2, 45.9 |
amount_100m_yuan |
Amount (¥100M) | float | 0% | 13 | 4085, 606, 8498, 2855, 24350 |
CHN NBS - Economic Infrastructure
— 9 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 9 | New 220kV+ substation capacity added, New railway line... |
unit |
Unit of measure | string | 0% | 5 | 10,000 kVA, km, km, km, km |
value |
Value | float | 0% | 9 | 25839, 4100, 2082, 2658, 3452 |
CHN NBS - Economic Outbound Investment
— 11 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
industry |
Industry | string | 0% | 11 | Total, of which: Agriculture, forestry, livestock &... |
amount_100m_usd |
Amount (US$100M) | float | 0% | 11 | 1168.5, 8.3, 50.1, 216.0, 35.2 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 11 | 2.8, -26.5, 0.6, 17.4, -28.0 |
CHN NBS - Economic Patents
— 8 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 8 | Patents granted, of which: Domestic patents granted, of... |
patents_10k |
Patents (10,000) | float | 0% | 8 | 432.3, 418.7, 79.8, 68.9, 1787.9 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 8 | -6.0, -5.9, 14.7, 19.2, 15.9 |
CHN NBS - Economic Population
— 9 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 9 | Total population, Urban, Rural, Male, Female |
yearend_10k_persons |
Year-end stock (10,000 persons) | float | 0% | 9 | 141175, 92071, 49104, 72206, 68969 |
share_pct |
Share (%) | float | 0% | 9 | 100.0, 65.2, 34.8, 51.1, 48.9 |
CHN NBS - Economic Prices
— 11 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
单位：% |
Unit (%) | string | 0% | 11 | Indicator, Urban, CPI, of which: Food, tobacco &... |
col_1 |
Generic column 1 (table-specific) | string | 0% | 11 | National, Rural, 2.0, 2.4, 0.5 |
col_2 |
Generic column 2 (table-specific) | string | 9% | 9 | , 2.0, 2.6, 0.6, 0.5 |
CHN NBS - Economic Production
— 39 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
product_name |
Product name | string | 0% | 39 | Yarn, Cloth, Chemical fibre, Refined sugar, Cigarettes |
unit |
Unit of measure | string | 0% | 14 | 10,000 tonnes, 100 million metres, 10,000 tonnes, 10,000... |
output |
Output (value or volume — see unit column) | float | 0% | 39 | 2719.1, 467.5, 6697.8, 1486.8, 24321.5 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 38 | -5.4, -6.9, -0.2, 2.6, 0.6 |
CHN NBS - Economic Real Estate
— 13 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 9 | Investment, of which: Residential, Floor space under... |
unit |
Unit of measure | string | 0% | 2 | ¥100 million, ¥100 million, 10,000 sq m, 10,000 sq m, 10,000 sq m |
value |
Value | float | 0% | 13 | 132895, 100646, 904999, 639696, 120587 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 13 | -10.0, -9.5, -7.2, -7.3, -39.4 |
CHN NBS - Economic Trade By Country
— 11 rows, 8 columns
Loading data…
Field details — 8 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
country_region |
Country / region (trade-partner dimension) | string | 0% | 11 | ASEAN, EU, United States, South Korea, Japan |
exports_100m_yuan |
Exports (¥100M) | float | 0% | 11 | 37907, 37434, 38706, 10843, 11537 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 11 | 6.8, -4.9, 1.9, -3.7, -7.5 |
export_share_pct |
Export share (%) | float | 0% | 11 | 15.8, 15.6, 16.2, 4.5, 4.8 |
imports_100m_yuan |
Imports (¥100M) | float | 0% | 11 | 27247, 19034, 11834, 13278, 12295 |
import_share_pct |
Import share (%) | float | 0% | 11 | 15.1, 10.5, 6.5, 7.3, 6.8 |
CHN NBS - Economic Trade Summary
— 12 rows, 5 columns
Loading data…
Field details — 5 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 8 | Total trade, Total exports, of which: General trade,... |
amount_100m_yuan |
Amount (¥100M) | float | 0% | 12 | 420678, 239654, 152468, 53952, 136973 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 12 | 7.7, 10.5, 15.4, 1.1, 7.0 |
CHN NBS - Economic Transport Freight
— 12 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 7 | Total freight, Railway, Highway, Waterway, Civil aviation |
unit |
Unit of measure | string | 0% | 3 | 100 million tonnes, 100 million tonnes, 100 million... |
value |
Value | float | 0% | 12 | 514.7, 49.3, 371.2, 85.5, 607.6 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 12 | -3.0, 4.5, -5.5, 3.8, -17.0 |
CHN NBS - Economic Transport Passenger
— 10 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | SEL+ | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
Year | float | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
indicator |
Indicator | string | 0% | 6 | Total passengers, Railway, Highway, Waterway, Civil aviation |
unit |
Unit of measure | string | 0% | 2 | 100 million trips, 100 million trips, 100 million trips,... |
value |
Value | float | 0% | 10 | 55.9, 16.7, 35.5, 1.2, 2.5 |
yoy_growth_pct |
Year-over-year growth (%) | float | 0% | 10 | -32.7, -35.9, -30.3, -28.8, -42.9 |
CHN UNHCR Refugee Data Finder
CHN-UNHCR
Migration
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
CHN UNHCR - Hosted Populations
— 75 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
CHN UNHCR - Origin Populations
— 75 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
CHN World Bank Open Data
CHN-WORLD_BANK
Development Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
CHN World Bank - Development Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CN, CN, CN, CN, CN |
population_count |
Population count | float | SEL | 2% | 65 | 667070000.0, 660330000.0, 665770000.0, 682335000.0, 698355000.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 33.419, 40.158, 50.959, 51.67, 52.343 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 89.7150749167731, 75.9655011127574, 71.0616845971262,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 92% | 5 | 65.5100021362305, 77.7900009155273, 90.9199981689453,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 17% | 53 | 119.1, 113.1, 107.3, 101.7, 96.1 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 80% | 13 | 49.8, 30.2, 17.2, 12.7, 10.2 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | China, China, China, China, China |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
CHN World Bank - Health Indicators
— 66 rows, 14 columns
Loading data…
Field details — 14 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CN, CN, CN, CN, CN |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 33.419, 40.158, 50.959, 51.67, 52.343 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 34 | 29.7, 29.7, 29.5, 29.1, 28.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 17% | 53 | 119.1, 113.1, 107.3, 101.7, 96.1 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 125.0, 120.0, 114.0, 108.0, 104.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 4.451, 3.863, 6.085, 7.513, 6.672 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 20.86, 18.02, 37.01, 43.37, 39.14 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 55 | 25.43, 14.24, 10.02, 10.04, 11.5 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 23% | 48 | 1.07, 0.96, 0.94, 0.91, 0.88 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 11% | 56 | 1.44000005722046, 1.51999998092651, 1.5,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 18 | 58.0, 73.0, 78.0, 78.0, 75.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.4535861, 4.19752026, 4.32156181, 4.35460472, 4.22949076 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | China, China, China, China, China |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
CHN Ethnic Power Relations Dataset
CHN-EPR
Political Ethnicity
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN EPR - Groups
— 37 rows, 8 columns
Loading data…
Field details — 8 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 37 | Chinese (Han), Zhuang, Hui (proper), Manchu, Uyghur |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | MONOPOLY, POWERLESS, POWERLESS, POWERLESS, DISCRIMINATED |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 23 | 0.916, 0.0127, 0.0079, 0.0078, 0.0076 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 37 | 71003000, 71013000, 71005100, 71007000, 71036000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 3 | , true, true, false, false |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
CHN D-PLACE
CHN-DPLACE
Ethnographic Societies
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN D-PLACE - Dplace Ea Societies
— 17 rows, 18 columns
Loading data…
Field details — 18 fields (type, nulls, unique, samples)
Standards-Aligned Fields (11)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
society_id |
Society id | string | CCL | 0% | 17 | Eb2, Eb4, Eb7, Ec9, Ed10 |
society_name |
Society name | string | CCL | 0% | 17 | Tu, Dagur, Chahar, Nanai, Shantung |
language_glottocode |
Language glottocode | string | CCL | 0% | 17 | tuuu1240, daur1238, peri1253, nana1257, mand1415 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 11 | EA001:0; EA002:0; EA003:1; EA004:3; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 12 | EA006:1; EA007:8; EA008:7; EA009:2; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 14 | EA028:5; EA029:6; EA030:6; EA031:NA; EA032:3, EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 12 | EA033:2; EA034:NA; EA035:NA, EA033:NA; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 13 | EA034:NA; EA112:3, EA034:NA; EA112:6, EA034:1; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | China, China, China, China, China |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 14 | 39.0, 49.0, 41.0, 47.0, 37.0 |
longitude |
longitude | float | 0% | 15 | 100.0, 125.0, 115.0, 132.0, 118.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
CHN NGA GEOnet Names Server (GNS)
CHN-NGA_GNS
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
CHN Nga Gns - Language
— 16 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CHN, CHN, CHN, CHN, CHN |
gns_language_code |
gns_language_code | string | CCL | 0% | 16 | zho, bod, uig, eng, mon |
gns_language_name |
gns_language_name | string | CCL | 0% | 16 | Chinese, Tibetan, Uighur, English, Mongolian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 15 | 2053727, 7852, 4844, 840, 688 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 15 | 99.2613, 0.3795, 0.2341, 0.0406, 0.0333 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 9 | 1003950, 0, 2247, 0, 18 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 5 | Hans, , Arab, , Cyrl |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 5 | Han (Simplified variant), , Arabic, , Cyrillic |
gns_script_count |
gns_script_count | integer | CCL | 0% | 5 | 5, 0, 4, 0, 1 |
CHN Nga Gns - Summary
— 1 rows, 29 columns
Loading data…
Field details — 29 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CHN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | China |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 16 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 7 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.998 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 1024971 |
Extension Fields (22)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 2167582 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 919709 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 2167538 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 44 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 195638 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 39371 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 1888910 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 843582 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 19133 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 8036 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 26712 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 10978 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 9827 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 4785 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 27133 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 12825 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 181 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 110 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 48 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 22 |
CHN OpenFactBook
CHN-OPENFACTBOOK
Country Profile
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 16 table(s)
CHN OpenFactBook - Communications
— 1 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 12.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 132.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .cn |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 78.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 45.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (14)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 167 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 167.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 1.87 billion (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 1.87 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 132 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | all broadcast media are owned by, or affiliated with,... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2000.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 78% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 636 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 636.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 45 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - Economy
— 1 rows, 157 columns
Loading data…
Field details — 157 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 23800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 18.744 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 0.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (151)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | world’s second-largest economy by nominal GDP; global... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $33.598 trillion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 33.598 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $32.005 trillion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 32.005 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $30.361 trillion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 30.361 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 5.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.4% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3.1% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.1 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $23,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $22,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 22700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $21,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 21500.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $18.744 trillion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 0.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 0.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 0.2% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 0.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 2.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 6.8% (2024 est.) |
| +121 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN OpenFactBook - Energy
— 1 rows, 65 columns
Loading data…
Field details — 65 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (61)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 2.949 billion kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 2.949 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 8.894 trillion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 8.894 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 20.577 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 20.577 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 7.195 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 7.195 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 325.352 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 325.352 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 64.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 64.2 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 4.7% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 4.7 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 6.3% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 6.3 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 9.6% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 9.6 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 13.3% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 13.3 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.9% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.9 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 57 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 57.0 |
nuclear_energy_number_of_nuclear_reactors_under_construction_text |
nuclear_energy_number_of_nuclear_reactors_under_construction_text | string | 0% | 1 | 28 (2025) |
nuclear_energy_number_of_nuclear_reactors_under_construction_numeric |
nuclear_energy_number_of_nuclear_reactors_under_construction_numeric | float | 0% | 1 | 28.0 |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text | string | 0% | 1 | 55.32GW (2025 est.) |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 55.32 |
nuclear_energy_percent_of_total_electricity_production_text |
nuclear_energy_percent_of_total_electricity_production_text | string | 0% | 1 | 4.9% (2023 est.) |
| +31 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN OpenFactBook - Environment
— 1 rows, 61 columns
Loading data…
Field details — 61 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 55.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 23.8 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 64.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.78 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 395.081 |
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (53)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air pollution and acid rain from reliance on coal;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic-Environmental Protection, Antarctic-Marine... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Comprehensive Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | extremely diverse; tropical in south to subarctic in north |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 55.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 41.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 41.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 23.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 20.6% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 20.6 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 64.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.78% annual rate of change (2020-25 est.) |
urbanization_note |
urbanization_note | string | 0% | 1 | note: data do not include Hong Kong and Macau |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 12.196 billion metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 12.196 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 9.575 billion metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 9.575 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 1.847 billion metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 1.847 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 774.076 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 774.076 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 41.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 41.4 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 27,832.7 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 27832.7 |
| +23 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN OpenFactBook - Ethnic Groups
— 1 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Chinese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Chinese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Han Chinese 91.1%, ethnic minorities 8.9% (includes... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 91.1 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - Geography
— 1 rows, 72 columns
Loading data…
Field details — 72 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 9596960.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 9326410.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 270550.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 22457.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 14500.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 8849.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -154.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 55.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 23.8 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 690070.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (59)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Asia, bordering the East China Sea, Korea Bay,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 35 00 N, 105 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 35.0 |
map_references_text |
map_references_text | string | 0% | 1 | Asia |
area_total_text |
area_total_text | string | 0% | 1 | 9,596,960 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 9,326,410 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 270,550 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than the US |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 22,457 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Afghanistan 91 km; Bhutan 477 km; Burma 2,129 km; India... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 91.0 |
coastline_text |
coastline_text | string | 0% | 1 | 14,500 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or to the edge of the continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | extremely diverse; tropical in south to subarctic in north |
terrain_text |
terrain_text | string | 0% | 1 | mostly mountains, high plateaus, deserts in west;... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Everest (highest peak in Asia and highest point on... |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Turpan Pendi (Turfan Depression) -154 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,840 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1840.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | coal, iron ore, helium, petroleum, natural gas, arsenic,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 55.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.6 |
| +29 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN OpenFactBook - Government
— 1 rows, 106 columns
Loading data…
Field details — 106 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (104)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | People's Republic of China |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | China |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Zhonghua Renmin Gongheguo |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Zhongguo |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | PRC |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | English name could be derived from the Qin (Chin, Ts'in)... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 3.0 |
government_type_text |
government_type_text | string | 0% | 1 | communist party-led state |
capital_name_text |
capital_name_text | string | 0% | 1 | Beijing |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 39 55 N, 116 23 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 39.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+8 (13 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 8.0 |
capital_time_zone_note_text |
capital_time_zone_note_text | string | 0% | 1 | China is the largest country (in terms of area) with... |
capital_time_zone_note_numeric |
capital_time_zone_note_numeric | float | 0% | 1 | 1949.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name comes from the Chinese words bei (north) and... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 23 provinces (sheng, singular and plural), 5 autonomous... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 23.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law influenced by Soviet and continental European... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest promulgated 4 December 1982 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 4.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the Standing Committee of the National... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | least one parent must be a citizen of China |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | while naturalization is theoretically possible, in... |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President XI Jinping (since 14 March 2013) |
| +74 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN OpenFactBook - Introduction
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | China's historical civilization dates to at least the... |
background_numeric |
background_numeric | float | 0% | 1 | 13.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - Languages
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Standard Chinese or Mandarin (official; Putonghua, based... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | 世界概況 – 不可缺少的基本消息來源 (Standard Chinese)The World... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - Migration
— 1 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 814 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 814.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 198,400 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 198400.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — China does not fully meet the minimum standards... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - Military And Security
— 1 rows, 27 columns
Loading data…
Field details — 27 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (24)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | People's Liberation Army (PLA): Ground Forces or... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.5% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.7% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 2 million active-duty PLA (950,000-1... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 2.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the PLA is mostly equipped with domestically produced... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-26 years of age depending on education level for men... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 475 Lebanon (UNIFIL); 1,050 South Sudan (UNMISS); 280... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 475.0 |
military_note_text |
military_note_text | string | 0% | 1 | the People's Liberation Army (PLA) is the world’s... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - People And Society
— 1 rows, 148 columns
Loading data…
Field details — 148 fields (type, nulls, unique, samples)
Standards-Aligned Fields (29)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 1407181209.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 716908592.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 690272617.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 16.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 69.3 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 14.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 43.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 22.4 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 21.0 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 40.8 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.08 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 7.28 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.97 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.11 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 64.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.78 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.09 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.04 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 16.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 6.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 78.7 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.2 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.57 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 3.11 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 5.0 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 96.7 |
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (119)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 1,407,181,209 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 716,908,592 |
population_female_text |
population_female_text | string | 0% | 1 | 690,272,617 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 16.3% (male 122,644,111/female 107,926,176) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 69.3% (male 505,412,555/female 476,599,793) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 14.4% (2024 est.) (male 94,144,838/female 109,315,797) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 43.4 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 22.4 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 21 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 4.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 4.8 |
dependency_ratios_note |
dependency_ratios_note | string | 0% | 1 | note: data do not include Hong Kong, Macau, and Taiwan |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 40.8 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 39 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 39.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 41.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 41.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.08% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 7.28 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7.97 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.11 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | overwhelming majority of the population is found in the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 64.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.78% annual rate of change (2020-25 est.) |
urbanization_note |
urbanization_note | string | 0% | 1 | note: data do not include Hong Kong and Macau |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 29.211 million Shanghai, 21.766 million BEIJING... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 29.211 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.09 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.14 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.14 |
| +89 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN OpenFactBook - Religions
— 1 rows, 19 columns
Loading data…
Field details — 19 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 18.2 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 5.1 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 1.8 |
composition_religion_hindu_pct_synth |
Hindu | numeric | CCL | 0% | - | 0.05 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.7 |
composition_ethnicity_primary_label_synth |
Han Chinese | string | CCL | 0% | - | Han Chinese |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | folk religion 21.9%, Buddhist 18.2%, Christian 5.1%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 21.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
Pending (6) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_folk_religion_pct_synth |
folk religion | numeric | 0% | - | 21.9 |
composition_religion_jewish_pct_synth |
Jewish | numeric | 0% | - | 0.05 |
composition_religion_unaffiliated_pct_synth |
unaffiliated | numeric | 0% | - | 52.1 |
composition_ethnicity_han_chinese_pct_synth |
Han Chinese | numeric | 0% | - | 91.1 |
composition_ethnicity_ethnic_minorities_pct_synth |
ethnic minorities | numeric | 0% | - | 8.9 |
composition_ethnicity_primary_share_pct_synth |
Han Chinese | numeric | 0% | - | 91.1 |
CHN OpenFactBook - Space
— 1 rows, 13 columns
Loading data…
Field details — 13 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (10)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | China National Space Administration (CNSA; established... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 1993.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Jiuquan Launch Center (Inner Mongolia); Xichang Launch... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 2024.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | considered one of the world’s leading space powers, with... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 45.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1960s - began launching rockets and initiated satellite... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1960.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - Transnational Issues
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major illicit drug-producing and/or drug-transit... |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OpenFactBook - Transportation
— 1 rows, 29 columns
Loading data…
Field details — 29 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | B |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 552.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHN |
country_name |
Country name | string | SEL | 0% | 1 | China |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (24)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 552 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 120 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 120.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 150,000 km (2021) 1.435-m gauge (100,000 km... |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 150000.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 8,314 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 8314.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1,831, container ship 419, general cargo... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1831.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 66 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 66.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 5 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 5.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 9 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 9.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 25 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 25.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 27 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 27.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 48 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 48.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Chaozhou, Dalian, Fang-Cheng, Guangzhou, Hankow, Lon... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/ch.json |
CHN OCHA HDX Humanitarian Data Exchange
CHN-HDX
Humanitarian Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
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Admin 0
— 11 table(s)
CHN HDX - China - Economic, Social, Environmental, Health, E Wide
— 1 rows, 2,732 columns
Loading data…
Field details — 2732 fields (type, nulls, unique, samples)
Standards-Aligned Fields (56)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Agricultural_land_pct_of_land_area |
Agricultural land percent | float | SEL | 0% | 1 | 55.4326117545304 |
Forest_area_sq._km |
Forest area sqkm | float | SEL | 0% | 1 | 2256168.9 |
Forest_area_pct_of_land_area |
Forest area percent | float | SEL | 0% | 1 | 24.0319389958256 |
Land_area_sq._km |
Area land sqkm | float | SEL | 0% | 1 | 9388210.0 |
Surface_area_sq._km |
Area sqkm | float | SEL | 0% | 1 | 9562910.0 |
Cereal_yield_kg_per_hectare |
Cereal yield kg per hectare | float | SEL | 0% | 1 | 6418.1 |
Rural_population |
Rural population | float | SEL | 0% | 1 | 480535177.0 |
Mortality_rate_under-5_per_1000_live_births |
Under5 mortality per 1000 | float | SEL | 0% | 1 | 6.2 |
Pregnant_women_receiving_prenatal_care_pct |
Prenatal care percent | float | SEL | 0% | 1 | 99.6 |
Maternal_mortality_ratio_modeled_estimate_per_100000_live_births |
Maternal mortality per 100k | float | SEL | 0% | 1 | 16.0 |
GDP_current_USusd |
Gdp total usd | float | SEL | 0% | 1 | 18743803170827.2 |
GDP_per_capita_current_USusd |
Gdp per capita usd | float | SEL | 0% | 1 | 13303.1481543868 |
Literacy_rate_adult_total_pct_of_people_ages_15_and_above |
Literacy rate percent | float | SEL | 0% | 1 | 96.7399978637695 |
School_enrollment_primary_pct_gross |
Primary enrollment rate percent | float | SEL | 0% | 1 | 99.644962886981 |
School_enrollment_secondary_pct_gross |
Secondary enrollment rate percent | float | SEL | 0% | 1 | 92.2603063015232 |
School_enrollment_tertiary_pct_gross |
Tertiary enrollment rate percent | float | SEL | 0% | 1 | 76.8757843123403 |
Government_expenditure_on_education_total_pct_of_GDP |
Education expenditure percent gdp | float | SEL | 0% | 1 | 4.00127983093262 |
Unemployment_total_pct_of_total_labor_force_modeled_ILO_estimate |
Unemployment rate percent | float | SEL | 0% | 1 | 4.615 |
Population_ages_0-14_pct_of_total_population |
Population 0 14 percent | float | SEL | 0% | 1 | 16.0078123326803 |
Population_ages_15-64_pct_of_total_population |
Population 15 64 percent | float | SEL | 0% | 1 | 69.3269188307508 |
Access_to_electricity_pct_of_population |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
Population_living_in_slums_pct_of_urban_population |
Slum population percent | float | SEL | 0% | 1 | 26.32091 |
People_using_at_least_basic_sanitation_services_pct_of_population |
Basic sanitation percent | float | SEL | 0% | 1 | 97.2718787578263 |
People_with_basic_handwashing_facilities_including_soap_and_water_pct_of_populat |
Handwashing facility percent | float | SEL | 0% | 1 | 97.2663184969228 |
People_practicing_open_defecation_pct_of_population |
Open defecation percent | float | SEL | 0% | 1 | 0.0 |
Hospital_beds_per_1000_people |
Hospital beds per 1000 | float | SEL | 0% | 1 | 5.63 |
Physicians_per_1000_people |
Physicians per 1000 | float | SEL | 0% | 1 | 3.112 |
Current_health_expenditure_pct_of_GDP |
Health expenditure percent gdp | float | SEL | 0% | 1 | 5.94388866 |
Prevalence_of_undernourishment_pct_of_population |
Undernourishment percent | float | SEL | 0% | 1 | 2.5 |
| +26 more standards-aligned fields — download the CSV/Parquet to see them all. | ||||||
Extension Fields (2676)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Fertilizer_consumption_pct_of_fertilizer_production |
Fertilizer_consumption_pct_of_fertilizer_production | float | 0% | 1 | 92.0312777126008 |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land | float | 0% | 1 | 394.019742296898 |
Agricultural_land_sq._km |
Agricultural_land_sq._km | float | 0% | 1 | 5204130.0 |
Arable_land_hectares |
Arable_land_hectares | float | 0% | 1 | 108427100.0 |
Arable_land_hectares_per_person |
Arable_land_hectares_per_person | float | 0% | 1 | 0.0768599499542783 |
Arable_land_pct_of_land_area |
Arable_land_pct_of_land_area | float | 0% | 1 | 11.5492836227566 |
Land_under_cereal_production_hectares |
Land_under_cereal_production_hectares | float | 0% | 1 | 99987255.0 |
Permanent_cropland_pct_of_land_area |
Permanent_cropland_pct_of_land_area | float | 0% | 1 | 2.04010136117535 |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 42639.9398719 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 0.461168344660781 |
Average_precipitation_in_depth_mm_per_year |
Average_precipitation_in_depth_mm_per_year | float | 0% | 1 | 645.0 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 8723723.0597445 |
Cereal_production_metric_tons |
Cereal_production_metric_tons | float | 0% | 1 | 641731705.88 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 111.85 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 111.75 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 109.5 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 0.525493494671787 |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal | float | 0% | 1 | 62.14454059 |
Agriculture_forestry_and_fishing_value_added_current_USusd |
Agriculture_forestry_and_fishing_value_added_current_USusd | float | 0% | 1 | 1270079880349.97 |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP | float | 0% | 1 | 6.77599881291286 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 18.6826526976472 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 24.1934332847983 |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 21.6768623336956 |
Rural_population_growth_annual_pct |
Rural_population_growth_annual_pct | float | 0% | 1 | -1.18629610241506 |
Rural_population_pct_of_total_population |
Rural_population_pct_of_total_population | float | 0% | 1 | 34.1053019001675 |
Agricultural_raw_materials_imports_pct_of_merchandise_imports |
Agricultural_raw_materials_imports_pct_of_merchandise_imports | float | 0% | 1 | 2.65554162830592 |
Agricultural_raw_materials_exports_pct_of_merchandise_exports |
Agricultural_raw_materials_exports_pct_of_merchandise_exports | float | 0% | 1 | 0.344746971362811 |
Grants_excluding_technical_cooperation_BoP_current_USusd |
Grants_excluding_technical_cooperation_BoP_current_USusd | float | 0% | 1 | 103417845.0 |
Technical_cooperation_grants_BoP_current_USusd |
Technical_cooperation_grants_BoP_current_USusd | float | 0% | 1 | 398944950.0 |
| +2646 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - China - Gender Wide
— 1 rows, 157 columns
Loading data…
Field details — 157 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Pregnant_women_receiving_prenatal_care_pct |
Prenatal care percent | float | SEL | 0% | 1 | 99.6 |
Maternal_mortality_ratio_modeled_estimate_per_100000_live_births |
Maternal mortality per 100k | float | SEL | 0% | 1 | 16.0 |
Contraceptive_prevalence_any_method_pct_of_married_women_ages_15-49 |
Contraception any percent | float | SEL | 0% | 1 | 84.5 |
Fertility_rate_total_births_per_woman |
Fertility rate | float | SEL | 0% | 1 | 0.999 |
Extension Fields (152)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Firms_with_female_top_manager_pct_of_firms |
Firms_with_female_top_manager_pct_of_firms | float | 0% | 1 | 19.59796906 |
Firms_with_female_participation_in_ownership_pct_of_firms |
Firms_with_female_participation_in_ownership_pct_of_firms | float | 0% | 1 | 43.99720764 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 | float | 0% | 1 | 99.7600021362305 |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI | float | 0% | 1 | 1.0 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 | float | 0% | 1 | 99.75 |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above | float | 0% | 1 | 95.0500030517578 |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above | float | 0% | 1 | 98.379997253418 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.00856995582581 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.01161003112793 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.996550023555756 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.13814000492912 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 93.5752716064453 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 92.6212310791016 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 103.93893921564 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 103.038399540957 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 93.7399978637695 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 97.9000015258789 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 95.8399963378906 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 46.47985 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 100.682731254959 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 98.7425594135002 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 103.25703 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 101.9667 |
School_enrollment_primary_female_pct_net |
School_enrollment_primary_female_pct_net | float | 0% | 1 | 88.3706 |
School_enrollment_primary_male_pct_net |
School_enrollment_primary_male_pct_net | float | 0% | 1 | 90.26422 |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population | float | 0% | 1 | 82.97871 |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population | float | 0% | 1 | 81.86279 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 99.7389678955078 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 99.8268203735352 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 96.711051940918 |
| +122 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - China - Human Development Indicators Wide
— 1 rows, 46 columns
Loading data…
Field details — 46 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
le |
Life expectancy | float | SEL | 0% | 1 | 77.953 |
mys |
Mean years schooling | float | SEL | 0% | 1 | 8.036 |
years_of_schooling |
Mean years schooling | float | SEL | 0% | 1 | 20.663 |
Extension Fields (42)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
abr |
abr | float | 0% | 1 | 5.227 |
assets |
assets | float | 0% | 1 | 2.977 |
child_mortality |
child_mortality | float | 0% | 1 | 0.371 |
co2_prod |
co2_prod | float | 0% | 1 | 8.349 |
coef_ineq |
coef_ineq | float | 0% | 1 | 15.243 |
cooking_fuel |
cooking_fuel | float | 0% | 1 | 11.496 |
diff_hdi_phdi |
diff_hdi_phdi | float | 0% | 1 | 19.197 |
drinking_water |
drinking_water | float | 0% | 1 | 7.363 |
electricity |
electricity | float | 0% | 1 | 0.13 |
eys |
eys | float | 0% | 1 | 15.479 |
eys_f |
eys_f | float | 0% | 1 | 15.952 |
eys_m |
eys_m | float | 0% | 1 | 15.068 |
gdi_group |
gdi_group | float | 0% | 1 | 1.0 |
gii_rank |
gii_rank | float | 0% | 1 | 41.0 |
gni_pc_f |
gni_pc_f | float | 0% | 1 | 16257.194 |
gni_pc_m |
gni_pc_m | float | 0% | 1 | 27579.501 |
gnipc |
gnipc | float | 0% | 1 | 22029.223 |
hdi_f |
hdi_f | float | 0% | 1 | 0.786 |
hdi_m |
hdi_m | float | 0% | 1 | 0.806 |
hdi_rank |
hdi_rank | float | 0% | 1 | 78.0 |
ineq_edu |
ineq_edu | float | 0% | 1 | 10.293 |
ineq_inc |
ineq_inc | float | 0% | 1 | 30.288 |
ineq_le |
ineq_le | float | 0% | 1 | 5.147 |
le_f |
le_f | float | 0% | 1 | 80.926 |
le_m |
le_m | float | 0% | 1 | 75.201 |
lfpr_f |
lfpr_f | float | 0% | 1 | 54.6 |
lfpr_m |
lfpr_m | float | 0% | 1 | 75.57 |
loss |
loss | float | 0% | 1 | 15.935 |
mf |
mf | float | 0% | 1 | 24.906 |
mmr |
mmr | float | 0% | 1 | 23.048 |
| +12 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - China - Urban Development Wide
— 1 rows, 18 columns
Loading data…
Field details — 18 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Population_density_people_per_sq._km_of_land_area |
Population density | float | SEL | 0% | 1 | 150.264001337848 |
Population_living_in_slums_pct_of_urban_population |
Slum population percent | float | SEL | 0% | 1 | 26.32091 |
Urban_population_growth_annual_pct |
Urban growth rate percent | float | SEL | 0% | 1 | 0.431708792065523 |
Urban_population |
Urban population | float | SEL | 0% | 1 | 928439823.0 |
Urban_population_pct_of_total_population |
Urban population percent | float | SEL | 0% | 1 | 65.8946980998325 |
Extension Fields (12)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Urban_land_area_where_elevation_is_below_5_meters_sq._km |
Urban_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 32989.8003106 |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 0.3567981485348 |
Urban_land_area_sq._km |
Urban_land_area_sq._km | float | 0% | 1 | 522345.1853048 |
Access_to_electricity_urban_pct_of_urban_population |
Access_to_electricity_urban_pct_of_urban_population | float | 0% | 1 | 100.0 |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter | float | 0% | 1 | 34.8105237153218 |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p | float | 0% | 1 | 99.9982944622564 |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 4.35330882386637 |
Population_in_largest_city |
Population_in_largest_city | float | 0% | 1 | 30482140.0 |
Population_in_the_largest_city_pct_of_urban_population |
Population_in_the_largest_city_pct_of_urban_population | float | 0% | 1 | 3.26840706087884 |
Population_in_urban_agglomerations_of_more_than_1_million |
Population_in_urban_agglomerations_of_more_than_1_million | float | 0% | 1 | 460164024.0 |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio | float | 0% | 1 | 32.7339486002285 |
Mortality_caused_by_road_traffic_injury_per_100000_population |
Mortality_caused_by_road_traffic_injury_per_100000_population | float | 0% | 1 | 17.4 |
CHN HDX - Hong Kong Sar, China - Economic, Social, Environme Wide
— 1 rows, 1,738 columns
Loading data…
Field details — 1738 fields (type, nulls, unique, samples)
Standards-Aligned Fields (45)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Agricultural_land_pct_of_land_area |
Agricultural land percent | float | SEL | 0% | 1 | 3.80952380952381 |
Land_area_sq._km |
Area land sqkm | float | SEL | 0% | 1 | 1050.0 |
Surface_area_sq._km |
Area sqkm | float | SEL | 0% | 1 | 1110.0 |
Cereal_yield_kg_per_hectare |
Cereal yield kg per hectare | float | SEL | 0% | 1 | 2059.0 |
Rural_population |
Rural population | float | SEL | 0% | 1 | 0.0 |
GDP_current_USusd |
Gdp total usd | float | SEL | 0% | 1 | 406863396487.342 |
GDP_per_capita_current_USusd |
Gdp per capita usd | float | SEL | 0% | 1 | 54074.6928519479 |
School_enrollment_primary_pct_gross |
Primary enrollment rate percent | float | SEL | 0% | 1 | 103.152955896153 |
School_enrollment_secondary_pct_gross |
Secondary enrollment rate percent | float | SEL | 0% | 1 | 107.160326941213 |
School_enrollment_tertiary_pct_gross |
Tertiary enrollment rate percent | float | SEL | 0% | 1 | 120.08978583196 |
Government_expenditure_on_education_total_pct_of_GDP |
Education expenditure percent gdp | float | SEL | 0% | 1 | 3.80804991722107 |
Unemployment_total_pct_of_total_labor_force_modeled_ILO_estimate |
Unemployment rate percent | float | SEL | 0% | 1 | 2.799 |
Population_ages_0-14_pct_of_total_population |
Population 0 14 percent | float | SEL | 0% | 1 | 10.5078221116522 |
Population_ages_15-64_pct_of_total_population |
Population 15 64 percent | float | SEL | 0% | 1 | 66.8250300290246 |
Access_to_electricity_pct_of_population |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
People_using_safely_managed_drinking_water_services_pct_of_population |
Safe drinking water percent | float | SEL | 0% | 1 | 100.0 |
People_using_at_least_basic_sanitation_services_pct_of_population |
Basic sanitation percent | float | SEL | 0% | 1 | 94.834373461349 |
People_practicing_open_defecation_pct_of_population |
Open defecation percent | float | SEL | 0% | 1 | 0.0 |
Hospital_beds_per_1000_people |
Hospital beds per 1000 | float | SEL | 0% | 1 | 4.89090013504028 |
Physicians_per_1000_people |
Physicians per 1000 | float | SEL | 0% | 1 | 1.319 |
Prevalence_of_undernourishment_pct_of_population |
Undernourishment percent | float | SEL | 0% | 1 | 3.1 |
Birth_rate_crude_per_1000_people |
Birth rate per 1000 | float | SEL | 0% | 1 | 4.4 |
Death_rate_crude_per_1000_people |
Death rate per 1000 | float | SEL | 0% | 1 | 7.3 |
Contraceptive_prevalence_any_method_pct_of_married_women_ages_15-49 |
Contraception any percent | float | SEL | 0% | 1 | 66.7 |
Life_expectancy_at_birth_total_years |
Life expectancy | float | SEL | 0% | 1 | 85.2473170731707 |
Fertility_rate_total_births_per_woman |
Fertility rate | float | SEL | 0% | 1 | 0.751 |
Population_ages_0-14_total |
Population 0 14 | float | SEL | 0% | 1 | 790619.0 |
Population_ages_15-64_total |
Population 15 64 | float | SEL | 0% | 1 | 5027982.0 |
Population_ages_65_and_above_total |
Population 65 plus | float | SEL | 0% | 1 | 1705499.0 |
| +15 more standards-aligned fields — download the CSV/Parquet to see them all. | ||||||
Extension Fields (1693)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Fertilizer_consumption_kilograms_per_hectare_of_arable_land |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land | float | 0% | 1 | 484.0 |
Agricultural_land_sq._km |
Agricultural_land_sq._km | float | 0% | 1 | 40.0 |
Arable_land_hectares |
Arable_land_hectares | float | 0% | 1 | 2000.0 |
Arable_land_hectares_per_person |
Arable_land_hectares_per_person | float | 0% | 1 | 0.00026538925969666 |
Arable_land_pct_of_land_area |
Arable_land_pct_of_land_area | float | 0% | 1 | 1.9047619047619 |
Land_under_cereal_production_hectares |
Land_under_cereal_production_hectares | float | 0% | 1 | 0.0 |
Permanent_cropland_pct_of_land_area |
Permanent_cropland_pct_of_land_area | float | 0% | 1 | 0.952380952380952 |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 74.9537466205 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 6.76533067761933 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 591.19585189281 |
Cereal_production_metric_tons |
Cereal_production_metric_tons | float | 0% | 1 | 0.06 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 101.49 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 141.66 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 149.97 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 0.555621452880751 |
Agriculture_forestry_and_fishing_value_added_current_USusd |
Agriculture_forestry_and_fishing_value_added_current_USusd | float | 0% | 1 | 152361025.665208 |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP | float | 0% | 1 | 0.0374477102095245 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 0.104659514309261 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 0.264712552443588 |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 0.182377495822408 |
Rural_population_growth_annual_pct |
Rural_population_growth_annual_pct | float | 0% | 1 | -172.328531479259 |
Rural_population_pct_of_total_population |
Rural_population_pct_of_total_population | float | 0% | 1 | 0.0 |
Agricultural_raw_materials_imports_pct_of_merchandise_imports |
Agricultural_raw_materials_imports_pct_of_merchandise_imports | float | 0% | 1 | 0.0913335982064106 |
Agricultural_raw_materials_exports_pct_of_merchandise_exports |
Agricultural_raw_materials_exports_pct_of_merchandise_exports | float | 0% | 1 | 0.0307288054098069 |
Grants_excluding_technical_cooperation_BoP_current_USusd |
Grants_excluding_technical_cooperation_BoP_current_USusd | float | 0% | 1 | 3270000.0 |
Technical_cooperation_grants_BoP_current_USusd |
Technical_cooperation_grants_BoP_current_USusd | float | 0% | 1 | 10250000.0 |
Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd | float | 0% | 1 | 119999.997317791 |
Net_bilateral_aid_flows_from_DAC_donors_Austria_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Austria_current_USusd | float | 0% | 1 | 70000.0002980232 |
Net_bilateral_aid_flows_from_DAC_donors_Belgium_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Belgium_current_USusd | float | 0% | 1 | 50000.0007450581 |
| +1663 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - Hong Kong Sar, China - Education Wide
— 1 rows, 836 columns
Loading data…
Field details — 836 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
School_enrollment_primary_pct_gross |
Primary enrollment rate percent | float | SEL | 0% | 1 | 103.152955896153 |
School_enrollment_secondary_pct_gross |
Secondary enrollment rate percent | float | SEL | 0% | 1 | 107.160326941213 |
School_enrollment_tertiary_pct_gross |
Tertiary enrollment rate percent | float | SEL | 0% | 1 | 120.08978583196 |
Government_expenditure_on_education_total_pct_of_GDP |
Education expenditure percent gdp | float | SEL | 0% | 1 | 3.80804991722107 |
Unemployment_total_pct_of_total_labor_force_modeled_ILO_estimate |
Unemployment rate percent | float | SEL | 0% | 1 | 2.799 |
Population_ages_0-14_pct_of_total_population |
Population 0 14 percent | float | SEL | 0% | 1 | 10.5078221116522 |
Population_ages_15-64_pct_of_total_population |
Population 15 64 percent | float | SEL | 0% | 1 | 66.8250300290246 |
Extension Fields (828)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education | float | 0% | 1 | 7.54 |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education | float | 0% | 1 | 5.38 |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education | float | 0% | 1 | 0.0 |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education | float | 0% | 1 | 0.11 |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education | float | 0% | 1 | 8.71 |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education | float | 0% | 1 | 6.28 |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education | float | 0% | 1 | 0.31 |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education | float | 0% | 1 | 0.22 |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education | float | 0% | 1 | 0.59 |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education | float | 0% | 1 | 0.45 |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education | float | 0% | 1 | 0.59 |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education | float | 0% | 1 | 0.45 |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education | float | 0% | 1 | 2.25 |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education | float | 0% | 1 | 1.49 |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education | float | 0% | 1 | 2.25 |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education | float | 0% | 1 | 1.49 |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education | float | 0% | 1 | 8.06 |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education | float | 0% | 1 | 5.39 |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education | float | 0% | 1 | 8.06 |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education | float | 0% | 1 | 5.39 |
Barro-Lee:_Population_in_thousands_age_15-19_total |
Barro-Lee:_Population_in_thousands_age_15-19_total | float | 0% | 1 | 401.0 |
Barro-Lee:_Population_in_thousands_age_15-19_female |
Barro-Lee:_Population_in_thousands_age_15-19_female | float | 0% | 1 | 200.0 |
Barro-Lee:_Population_in_thousands_age_15+_total |
Barro-Lee:_Population_in_thousands_age_15+_total | float | 0% | 1 | 6429.0 |
Barro-Lee:_Population_in_thousands_age_15+_female |
Barro-Lee:_Population_in_thousands_age_15+_female | float | 0% | 1 | 3451.0 |
Barro-Lee:_Population_in_thousands_age_20-24_total |
Barro-Lee:_Population_in_thousands_age_20-24_total | float | 0% | 1 | 450.0 |
Barro-Lee:_Population_in_thousands_age_20-24_female |
Barro-Lee:_Population_in_thousands_age_20-24_female | float | 0% | 1 | 228.0 |
| +798 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - Hong Kong Sar, China - Gender Wide
— 1 rows, 135 columns
Loading data…
Field details — 135 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Contraceptive_prevalence_any_method_pct_of_married_women_ages_15-49 |
Contraception any percent | float | SEL | 0% | 1 | 66.7 |
Fertility_rate_total_births_per_woman |
Fertility rate | float | SEL | 0% | 1 | 0.751 |
Extension Fields (132)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Firms_with_female_top_manager_pct_of_firms |
Firms_with_female_top_manager_pct_of_firms | float | 0% | 1 | 43.64096451 |
Firms_with_female_participation_in_ownership_pct_of_firms |
Firms_with_female_participation_in_ownership_pct_of_firms | float | 0% | 1 | 37.14170837 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.042799949646 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.01925003528595 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.994069993495941 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.09234325401374 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 96.0097808837891 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 91.5473098754883 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 90.7207792207792 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 92.5840978593272 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 100.0 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 100.0 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 100.0 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 47.79839 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 101.573264781491 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 104.650822669104 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 117.2294 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 110.50432 |
School_enrollment_primary_female_pct_net |
School_enrollment_primary_female_pct_net | float | 0% | 1 | 94.16782 |
School_enrollment_primary_male_pct_net |
School_enrollment_primary_male_pct_net | float | 0% | 1 | 93.46964 |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population | float | 0% | 1 | 89.06373 |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population | float | 0% | 1 | 81.05459 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 96.778450012207 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 98.3544082641602 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 94.8337097167969 |
Persistence_to_last_grade_of_primary_male_pct_of_cohort |
Persistence_to_last_grade_of_primary_male_pct_of_cohort | float | 0% | 1 | 96.2746887207031 |
Repeaters_primary_female_pct_of_female_enrollment |
Repeaters_primary_female_pct_of_female_enrollment | float | 0% | 1 | 0.36839 |
Repeaters_primary_male_pct_of_male_enrollment |
Repeaters_primary_male_pct_of_male_enrollment | float | 0% | 1 | 0.43317 |
Trained_teachers_in_primary_education_female_pct_of_female_teachers |
Trained_teachers_in_primary_education_female_pct_of_female_teachers | float | 0% | 1 | 94.0331799804824 |
Trained_teachers_in_primary_education_male_pct_of_male_teachers |
Trained_teachers_in_primary_education_male_pct_of_male_teachers | float | 0% | 1 | 92.0325203252033 |
| +102 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - Macao Sar, China - Economic, Social, Environmental Wide
— 1 rows, 1,617 columns
Loading data…
Field details — 1617 fields (type, nulls, unique, samples)
Standards-Aligned Fields (43)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Land_area_sq._km |
Area land sqkm | float | SEL | 0% | 1 | 33.0 |
Surface_area_sq._km |
Area sqkm | float | SEL | 0% | 1 | 33.0 |
Rural_population |
Rural population | float | SEL | 0% | 1 | 0.0 |
GDP_current_USusd |
Gdp total usd | float | SEL | 0% | 1 | 49467258923.3244 |
GDP_per_capita_current_USusd |
Gdp per capita usd | float | SEL | 0% | 1 | 72004.7437020733 |
Literacy_rate_adult_total_pct_of_people_ages_15_and_above |
Literacy rate percent | float | SEL | 0% | 1 | 96.5400009155273 |
School_enrollment_primary_pct_gross |
Primary enrollment rate percent | float | SEL | 0% | 1 | 89.8103044496487 |
School_enrollment_secondary_pct_gross |
Secondary enrollment rate percent | float | SEL | 0% | 1 | 94.6616766467066 |
School_enrollment_tertiary_pct_gross |
Tertiary enrollment rate percent | float | SEL | 0% | 1 | 141.864795918367 |
Government_expenditure_on_education_total_pct_of_GDP |
Education expenditure percent gdp | float | SEL | 0% | 1 | 3.50183010101318 |
Unemployment_total_pct_of_total_labor_force_modeled_ILO_estimate |
Unemployment rate percent | float | SEL | 0% | 1 | 2.347 |
Population_ages_0-14_pct_of_total_population |
Population 0 14 percent | float | SEL | 0% | 1 | 13.910146585548 |
Population_ages_15-64_pct_of_total_population |
Population 15 64 percent | float | SEL | 0% | 1 | 71.8214344224741 |
Access_to_electricity_pct_of_population |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
People_using_safely_managed_drinking_water_services_pct_of_population |
Safe drinking water percent | float | SEL | 0% | 1 | 100.0 |
People_using_at_least_basic_sanitation_services_pct_of_population |
Basic sanitation percent | float | SEL | 0% | 1 | 100.0 |
People_practicing_open_defecation_pct_of_population |
Open defecation percent | float | SEL | 0% | 1 | 0.0 |
Hospital_beds_per_1000_people |
Hospital beds per 1000 | float | SEL | 0% | 1 | 5.29530000686646 |
Physicians_per_1000_people |
Physicians per 1000 | float | SEL | 0% | 1 | 1.562 |
Prevalence_of_undernourishment_pct_of_population |
Undernourishment percent | float | SEL | 0% | 1 | 11.2 |
Birth_rate_crude_per_1000_people |
Birth rate per 1000 | float | SEL | 0% | 1 | 5.5 |
Death_rate_crude_per_1000_people |
Death rate per 1000 | float | SEL | 0% | 1 | 4.4 |
Life_expectancy_at_birth_total_years |
Life expectancy | float | SEL | 0% | 1 | 83.1804878048781 |
Fertility_rate_total_births_per_woman |
Fertility rate | float | SEL | 0% | 1 | 0.586 |
Population_ages_0-14_total |
Population 0 14 | float | SEL | 0% | 1 | 95563.0 |
Population_ages_15-64_total |
Population 15 64 | float | SEL | 0% | 1 | 493413.0 |
Population_ages_65_and_above_total |
Population 65 plus | float | SEL | 0% | 1 | 98024.0 |
Population_ages_65_and_above_pct_of_total_population |
Population 65 plus percent | float | SEL | 0% | 1 | 14.2684189919779 |
Population_growth_annual_pct |
Population growth rate percent | float | SEL | 0% | 1 | 1.20077588622782 |
| +13 more standards-aligned fields — download the CSV/Parquet to see them all. | ||||||
Extension Fields (1574)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 3.57163106359 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 14.095617461755 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 7.5741654768354 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 103.18 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 81.34 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 73.39 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 0.772778435373717 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 0.33160896670646 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 0.417951590992474 |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate |
Employment_in_agriculture_pct_of_total_employment_modeled_ILO_estimate | float | 0% | 1 | 0.373797814869546 |
Rural_population_growth_annual_pct |
Rural_population_growth_annual_pct | float | 0% | 1 | -120.397280432594 |
Rural_population_pct_of_total_population |
Rural_population_pct_of_total_population | float | 0% | 1 | 0.0 |
Agricultural_raw_materials_imports_pct_of_merchandise_imports |
Agricultural_raw_materials_imports_pct_of_merchandise_imports | float | 0% | 1 | 0.142749528079388 |
Agricultural_raw_materials_exports_pct_of_merchandise_exports |
Agricultural_raw_materials_exports_pct_of_merchandise_exports | float | 0% | 1 | 0.408785558205904 |
Grants_excluding_technical_cooperation_BoP_current_USusd |
Grants_excluding_technical_cooperation_BoP_current_USusd | float | 0% | 1 | 0.0 |
Technical_cooperation_grants_BoP_current_USusd |
Technical_cooperation_grants_BoP_current_USusd | float | 0% | 1 | 320000.0 |
Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_European_Union_institutions_current_USus |
Net_bilateral_aid_flows_from_DAC_donors_European_Union_institutions_current_USus | float | 0% | 1 | 360000.014305115 |
Net_bilateral_aid_flows_from_DAC_donors_Switzerland_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Switzerland_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_Germany_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Germany_current_USusd | float | 0% | 1 | 19999.9995529652 |
Net_bilateral_aid_flows_from_DAC_donors_France_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_France_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_Japan_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Japan_current_USusd | float | 0% | 1 | 209999.993443489 |
Net_bilateral_aid_flows_from_DAC_donors_Netherlands_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Netherlands_current_USusd | float | 0% | 1 | 70000.0002980232 |
Net_bilateral_aid_flows_from_DAC_donors_Norway_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Norway_current_USusd | float | 0% | 1 | 50000.0007450581 |
Net_bilateral_aid_flows_from_DAC_donors_Portugal_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Portugal_current_USusd | float | 0% | 1 | 70000.0002980232 |
Net_bilateral_aid_flows_from_DAC_donors_Sweden_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Sweden_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_Total_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_Total_current_USusd | float | 0% | 1 | 9999.99977648258 |
Net_bilateral_aid_flows_from_DAC_donors_United_States_current_USusd |
Net_bilateral_aid_flows_from_DAC_donors_United_States_current_USusd | float | 0% | 1 | 19999.9995529652 |
Net_official_flows_from_UN_agencies_IFAD_current_USusd |
Net_official_flows_from_UN_agencies_IFAD_current_USusd | float | 0% | 1 | -4219999.79019165 |
| +1544 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - Macao Sar, China - Education Wide
— 1 rows, 826 columns
Loading data…
Field details — 826 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Literacy_rate_adult_total_pct_of_people_ages_15_and_above |
Literacy rate percent | float | SEL | 0% | 1 | 96.5400009155273 |
School_enrollment_primary_pct_gross |
Primary enrollment rate percent | float | SEL | 0% | 1 | 89.8103044496487 |
School_enrollment_secondary_pct_gross |
Secondary enrollment rate percent | float | SEL | 0% | 1 | 94.6616766467066 |
School_enrollment_tertiary_pct_gross |
Tertiary enrollment rate percent | float | SEL | 0% | 1 | 141.864795918367 |
Government_expenditure_on_education_total_pct_of_GDP |
Education expenditure percent gdp | float | SEL | 0% | 1 | 3.50183010101318 |
Unemployment_total_pct_of_total_labor_force_modeled_ILO_estimate |
Unemployment rate percent | float | SEL | 0% | 1 | 2.347 |
Population_ages_0-14_pct_of_total_population |
Population 0 14 percent | float | SEL | 0% | 1 | 13.910146585548 |
Population_ages_15-64_pct_of_total_population |
Population 15 64 percent | float | SEL | 0% | 1 | 71.8214344224741 |
Extension Fields (817)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education | float | 0% | 1 | 0.14 |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education | float | 0% | 1 | 0.12 |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education | float | 0% | 1 | 4.43 |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education | float | 0% | 1 | 3.46 |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education | float | 0% | 1 | 2.98 |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education | float | 0% | 1 | 4.44 |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education | float | 0% | 1 | 0.18 |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education | float | 0% | 1 | 0.11 |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education | float | 0% | 1 | 5.13 |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education | float | 0% | 1 | 3.75 |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education | float | 0% | 1 | 0.13 |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education | float | 0% | 1 | 0.15 |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education | float | 0% | 1 | 0.57 |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education | float | 0% | 1 | 0.58 |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education | float | 0% | 1 | 0.93 |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education | float | 0% | 1 | 0.75 |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education | float | 0% | 1 | 1.31 |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education | float | 0% | 1 | 1.04 |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education | float | 0% | 1 | 4.32 |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education | float | 0% | 1 | 2.87 |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education | float | 0% | 1 | 5.45 |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education | float | 0% | 1 | 3.7 |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education | float | 0% | 1 | 10.04 |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education | float | 0% | 1 | 6.61 |
Barro-Lee:_Population_in_thousands_age_15-19_total |
Barro-Lee:_Population_in_thousands_age_15-19_total | float | 0% | 1 | 35.0 |
Barro-Lee:_Population_in_thousands_age_15-19_female |
Barro-Lee:_Population_in_thousands_age_15-19_female | float | 0% | 1 | 17.0 |
Barro-Lee:_Population_in_thousands_age_15+_total |
Barro-Lee:_Population_in_thousands_age_15+_total | float | 0% | 1 | 416.0 |
Barro-Lee:_Population_in_thousands_age_15+_female |
Barro-Lee:_Population_in_thousands_age_15+_female | float | 0% | 1 | 218.0 |
Barro-Lee:_Population_in_thousands_age_20-24_total |
Barro-Lee:_Population_in_thousands_age_20-24_total | float | 0% | 1 | 43.0 |
Barro-Lee:_Population_in_thousands_age_20-24_female |
Barro-Lee:_Population_in_thousands_age_20-24_female | float | 0% | 1 | 21.0 |
| +787 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - Macao Sar, China - Gender Wide
— 1 rows, 131 columns
Loading data…
Field details — 131 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Fertility_rate_total_births_per_woman |
Fertility rate | float | SEL | 0% | 1 | 0.586 |
Extension Fields (129)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Literacy_rate_youth_female_pct_of_females_ages_15-24 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 | float | 0% | 1 | 99.870002746582 |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI | float | 0% | 1 | 1.0 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 | float | 0% | 1 | 99.7300033569336 |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above | float | 0% | 1 | 95.0299987792969 |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above | float | 0% | 1 | 98.1900024414062 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.978659987449646 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.98633998632431 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.996479988098145 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.10614641930701 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 84.9695281982422 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 87.769660949707 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 93.9090909090909 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 94.3243243243243 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 87.8000030517578 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 92.0599975585938 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 89.8300018310547 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 48.17859 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 89.8774509803922 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 89.7488789237668 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 95.57895 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 93.60158 |
School_enrollment_primary_female_pct_net |
School_enrollment_primary_female_pct_net | float | 0% | 1 | 96.39243 |
School_enrollment_primary_male_pct_net |
School_enrollment_primary_male_pct_net | float | 0% | 1 | 96.39843 |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population | float | 0% | 1 | 91.15789 |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population |
Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population | float | 0% | 1 | 88.29156 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 99.2282485961914 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 99.8556213378906 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 99.1962509155273 |
Persistence_to_last_grade_of_primary_male_pct_of_cohort |
Persistence_to_last_grade_of_primary_male_pct_of_cohort | float | 0% | 1 | 99.4566497802734 |
Repeaters_primary_female_pct_of_female_enrollment |
Repeaters_primary_female_pct_of_female_enrollment | float | 0% | 1 | 1.29343 |
| +99 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN HDX - Macao Sar, China - Urban Development Wide
— 1 rows, 12 columns
Loading data…
Field details — 12 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Population_density_people_per_sq._km_of_land_area |
Population density | float | SEL | 0% | 1 | 20569.696969697 |
Urban_population_growth_annual_pct |
Urban growth rate percent | float | SEL | 0% | 1 | 1.2007758862278 |
Urban_population |
Urban population | float | SEL | 0% | 1 | 687000.0 |
Urban_population_pct_of_total_population |
Urban population percent | float | SEL | 0% | 1 | 100.0 |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Urban_land_area_where_elevation_is_below_5_meters_sq._km |
Urban_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 8.30704187323 |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 32.7841488661865 |
Urban_land_area_sq._km |
Urban_land_area_sq._km | float | 0% | 1 | 17.764426984834 |
Access_to_electricity_urban_pct_of_urban_population |
Access_to_electricity_urban_pct_of_urban_population | float | 0% | 1 | 100.0 |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 16.4565015811634 |
Population_in_largest_city |
Population_in_largest_city | float | 0% | 1 | 701381.0 |
Population_in_the_largest_city_pct_of_urban_population |
Population_in_the_largest_city_pct_of_urban_population | float | 0% | 1 | 100.0 |
CHN Global Organized Crime Index
CHN-OCINDEX
Crime Index
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN Organized Crime Scores 2025
— 1 rows, 35 columns
Loading data…
Field details — 35 fields (type, nulls, unique, samples)
Extension Fields (35)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
CHN World Values Survey
CHN-WVS
Attitudes Values
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
CHN WVS - Country Aggregates
— 1 rows, 26 columns
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Field details — 26 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHN |
Extension Fields (25)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |