| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_count |
Population count | integer | SEL | 0% | 1 | 7411945 |
population_male |
Population male | integer | SEL | 0% | 1 | 3381630 |
population_female |
Population female | integer | SEL | 0% | 1 | 4030315 |
admin_code |
Admin code | string | SEL | 0% | 1 | HKG |
admin_name |
Admin name | string | SEL | 0% | 1 | Hong Kong |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021 |
admin_level |
admin_level | string | 0% | 1 | admin_0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_count |
Population count | integer | SEL | 0% | 18 | 235953, 166695, 529603, 263278, 310647 |
population_male |
Population male | integer | SEL | 0% | 18 | 98282, 67075, 233542, 116239, 138873 |
population_female |
Population female | integer | SEL | 0% | 18 | 137671, 99620, 296061, 147039, 171774 |
admin_code |
Admin code | string | SEL | 0% | 18 | central_and_western, wan_chai, eastern, southern, yau_tsim_mong |
admin_name |
Admin name | string | SEL | 0% | 18 | Central and Western, Wan Chai, Eastern, Southern, Yau Tsim Mong |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HK, HK, HK, HK, HK |
population_count |
Population count | float | SEL | 2% | 65 | 3094840.0, 3168100.0, 3305200.0, 3420900.0, 3504600.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 65.6971219512195, 66.4416585365854, 66.9104634146342,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 426.773807917233, 436.754411520393, 487.821134050813,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | string | SEL | 100% | - | - |
poverty_headcount_pct |
Poverty headcount percent | string | SEL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Hong Kong SAR, China, Hong Kong SAR, China, Hong Kong... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HK, HK, HK, HK, HK |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 65.6971219512195, 66.4416585365854, 66.9104634146342,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | string | SEL | 100% | - | - |
maternal_mortality_per_100k |
Maternal mortality per 100k | string | SEL | 100% | - | - |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 5.085, 5.169, 5.177, 5.152, 5.085 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 55 | 36.271, 35.0, 34.0, 33.5, 30.7 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 23 | 6.45, 6.1, 6.3, 5.9, 5.3 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 86% | 9 | 0.327, 0.396, 0.663, 0.672, 0.826 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 91% | 6 | 2.64033937454224, 4.17829990386963, 5.04129981994629,... |
vaccination_rate_pct |
Vaccination rate percent | string | SEL | 100% | - | - |
health_expenditure_pct_gdp |
Health expenditure percent gdp | string | SEL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Hong Kong SAR, China, Hong Kong SAR, China, Hong Kong... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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 | 47.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 365.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .hk |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 96.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 40.0 |
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 3.487 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 3.487 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 47 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 27.1 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 27.1 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 365 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 34 commercial terrestrial TV networks, each with... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 34.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 96% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 2.97 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 2.97 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 40 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/hk.json |
| 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 | 66200.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 407.107 |
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | high-income tourism- and services-based economy; global... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $497.88 billion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 497.88 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $485.541 billion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 485.541 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $470.42 billion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 470.42 |
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 | 2.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | -3.7% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | -3.7 |
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 | $66,200 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $64,400 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 64400.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $64,000 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 64000.0 |
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 | $407.107 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1.7% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 1.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 1.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +107 more extension fields — download the CSV/Parquet to see them all. | |||||
| 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 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| 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 | 13.3 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 13.3 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 45.54 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 45.54 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 11.593 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 11.593 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.684 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.684 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 99.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 99.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.5% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.5 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.4% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.4 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 5.567 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 5.567 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 16,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 16000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 5.884 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 5.884 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 96 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 96.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 233,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 233000.0 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 5.12 billion cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 5.12 |
natural_gas_imports_text |
natural_gas_imports_text | string | 0% | 1 | 5.12 billion cubic meters (2023 est.) |
natural_gas_imports_numeric |
natural_gas_imports_numeric | float | 0% | 1 | 5.12 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 116.811 million Btu/person (2023 est.) |
| +3 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 3.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 100.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.58 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 5.68 |
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air and water pollution from rapid urbanization; urban... |
climate_text |
climate_text | string | 0% | 1 | subtropical monsoon; cool and humid in winter, hot and... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 1.0 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0% (2022 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 96.2% (2022 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 96.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 100% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.58% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 58.433 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 58.433 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 12.935 million 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 | 12.935 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 35.453 million 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 | 35.453 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 10.045 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 | 10.045 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 5.68 million tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 34% (2016 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 34.0 |
source_section |
source_section | string | 0% | 1 | Environment |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/hk.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Chinese/Hong Konger |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Chinese/Hong Kong |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Chinese 91.6%, Filipino 2.7%, Indonesian 1.9%, other... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 91.6 |
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/hk.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 1108.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 1073.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 35.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 33.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 733.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 958.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 3.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 10.0 |
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Asia, bordering the South China Sea and China |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 22 15 N, 114 10 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 22.0 |
map_references_text |
map_references_text | string | 0% | 1 | Southeast Asia |
area_total_text |
area_total_text | string | 0% | 1 | 1,108 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 1,073 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 35 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | six times the size of Washington, D.C. |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 33 km |
land_boundaries_regional_borders_text |
land_boundaries_regional_borders_text | string | 0% | 1 | China 33 km |
land_boundaries_regional_borders_numeric |
land_boundaries_regional_borders_numeric | float | 0% | 1 | 33.0 |
coastline_text |
coastline_text | string | 0% | 1 | 733 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 |
climate_text |
climate_text | string | 0% | 1 | subtropical monsoon; cool and humid in winter, hot and... |
terrain_text |
terrain_text | string | 0% | 1 | hilly to mountainous with steep slopes; lowlands in north |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Tai Mo Shan 958 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | South China Sea 0 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | outstanding deepwater harbor, feldspar |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 1.0 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0% (2022 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 96.2% (2022 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 96.2 |
irrigated_land_text |
irrigated_land_text | string | 0% | 1 | 10 sq km (2012) |
| +6 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Hong Kong Special Administrative Region |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Hong Kong |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Heung Kong Takpit Hangching Ku (Eitel/Dyer-Ball) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Heung Kong (Eitel/Dyer-Ball) |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | HK |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | probably an imprecise phonetic rendering of the... |
government_type_text |
government_type_text | string | 0% | 1 | presidential limited democracy; a special administrative... |
dependency_status_text |
dependency_status_text | string | 0% | 1 | special administrative region of the People's Republic of China |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of common law based on the English model... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous (governance documents while under... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1988.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the Standing Committee of the National... |
constitution_note |
constitution_note | string | 0% | 1 | note: since 1990, China's National People's Congress has... |
citizenship_text |
citizenship_text | string | 0% | 1 | see China |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age in direct elections for 20 of the 90... |
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 of China XI Jinping (since 14 March 2013) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 14.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Chief Executive John LEE Ka-chiu (since 1 July 2022) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 1.0 |
executive_branch_cabinet_text |
executive_branch_cabinet_text | string | 0% | 1 | Executive Council or ExCo appointed by the chief executive |
executive_branch_election_appointment_process_text |
executive_branch_election_appointment_process_text | string | 0% | 1 | president indirectly elected by National People's... |
executive_branch_election_appointment_process_numeric |
executive_branch_election_appointment_process_numeric | float | 0% | 1 | 5.0 |
executive_branch_most_recent_election_date_text |
executive_branch_most_recent_election_date_text | string | 0% | 1 | president: 10 March 2023chief executive: 8 May 2022 |
executive_branch_most_recent_election_date_numeric |
executive_branch_most_recent_election_date_numeric | float | 0% | 1 | 10.0 |
executive_branch_election_results_text |
executive_branch_election_results_text | string | 0% | 1 | 2022: John LEE was the only candidate and won with over... |
executive_branch_election_results_numeric |
executive_branch_election_results_numeric | float | 0% | 1 | 2022.0 |
executive_branch_expected_date_of_next_election_text |
executive_branch_expected_date_of_next_election_text | string | 0% | 1 | president: March 2028chief executive: 2027 |
executive_branch_expected_date_of_next_election_numeric |
executive_branch_expected_date_of_next_election_numeric | float | 0% | 1 | 2028.0 |
executive_branch_note |
executive_branch_note | string | 0% | 1 | note: electoral changes that Beijing imposed in March... |
| +48 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The UK seized Hong Kong in 1841, and China formally... |
background_numeric |
background_numeric | float | 0% | 1 | 1841.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/hk.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Cantonese (official) 85.4%, English (official) 4.5%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 85.4 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | 世界概况, 必須擁有的基本資料参考书 (Cantonese) The World Factbook, the... |
languages_note |
languages_note | string | 0% | 1 | note: data represent population by usual spoken language |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/hk.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 260 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 260.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the government did not demonstrate... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/hk.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Hong Kong Police Force (specialized units include the... |
military_and_security_forces_numeric |
military_and_security_forces_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/hk.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 7305556.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 3367222.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 3938334.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 13.2 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 64.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 21.9 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 56.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 20.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 35.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 47.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.09 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 7.45 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.16 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 1.64 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 100.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.58 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.86 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 2.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 84.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.24 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.6 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 2.04 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 4.9 |
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 7,305,556 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 3,367,222 |
population_female_text |
population_female_text | string | 0% | 1 | 3,938,334 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 13.2% (male 505,718/female 459,956) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 64.8% (male 2,123,216/female 2,609,102) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 21.9% (2024 est.) (male 738,878/female 860,951) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 56.7 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 20.8 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 35.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 2.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 2.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 47.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 45.3 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 45.3 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 48.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 48.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.09% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 7.45 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.16 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 1.64 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population fairly evenly distributed |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 100% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.58% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 7.685 million Hong Kong (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 7.685 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.1 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.1 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.81 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.81 |
| +51 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 4.2 |
composition_religion_hindu_pct_synth |
Hindu | numeric | CCL | 0% | - | 1.4 |
composition_ethnicity_primary_label_synth |
Chinese | string | CCL | 0% | - | Chinese |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Buddhist or Taoist 27.9%, Protestant 6.7%, Roman... |
religions_numeric |
religions_numeric | float | 0% | 1 | 27.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/hk.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_buddhist_or_taoist_pct_synth |
Buddhist or Taoist | numeric | 0% | - | 27.9 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 6.7 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 5.3 |
composition_religion_sikh_pct_synth |
Sikh | numeric | 0% | - | 0.2 |
composition_religion_other_or_none_pct_synth |
other or none | numeric | 0% | - | 54.3 |
composition_ethnicity_chinese_pct_synth |
Chinese | numeric | 0% | - | 91.6 |
composition_ethnicity_filipino_pct_synth |
Filipino | numeric | 0% | - | 2.7 |
composition_ethnicity_indonesian_pct_synth |
Indonesian | numeric | 0% | - | 1.9 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 3.7 |
composition_ethnicity_primary_share_pct_synth |
Chinese | numeric | 0% | - | 91.6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major precursor-chemical producer (2025) |
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/hk.json |
| 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-H |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | HKG |
country_name |
Country name | string | SEL | 0% | 1 | Hong Kong |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 2 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 142 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 142.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 2,537 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 2537.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1,047, container ship 560, general cargo... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1047.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 1 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 1.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 1 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 1.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 0 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 0.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Hong Kong |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/hk.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HKG, HKG |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | zho, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Chinese, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 6261, 424 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 93.6574, 6.3426 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 2599, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | Hant, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | Han (Traditional variant), |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 2, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HKG |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Hong Kong |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9584 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 2601 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 7212 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 1846 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 7209 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
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 | 41 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 6 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 4125 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 1121 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 1867 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 438 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 968 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 200 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 116 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 32 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 95 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 49 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HKG |
| 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 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| Chinese (zho) | 6,261 | 93.7% | Han (Traditional variant) |
| English (eng) | 424 | 6.3% | — |
1,846 distinct features ·
2 languages ·
2 scripts ·
2,601 names in non-Roman script ·
3 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| Census and Statistics Department (C&SD) | official_nso | bulk_download |
| World Values Survey | academic | metadata_catalog |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.