| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | string | SEL | 0% | 1 | TWN |
admin_name |
Admin name | string | SEL | 0% | 1 | Taiwan |
population_count |
Population count | integer | SEL | 0% | 1 | 23833611 |
population_male |
Population male | integer | SEL | 0% | 1 | 11751181 |
population_female |
Population female | integer | SEL | 0% | 1 | 12082430 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
year |
year | integer | 0% | 1 | 2020 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | string | SEL | 0% | 22 | new_taipei_city, taipei_city, taoyuan_city,... |
admin_name |
Admin name | string | SEL | 0% | 22 | New Taipei City, Taipei City, Taoyuan City, Keelung... |
population_count |
Population count | integer | SEL | 0% | 22 | 4364124, 2603150, 2440207, 367107, 499348 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
region_name_zh |
region_name_zh | string | 0% | 22 | 新北市, 臺北市, 桃園市, 基隆市, 新竹市 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
admin_code | string | SEL | 0% | 1 | TWN |
admin_name |
admin_name | string | SEL | 0% | 1 | Taiwan |
population_count |
population_count | integer | SEL | 0% | 1 | 23243565 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
year |
year | integer | 0% | 1 | 2026 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
admin_code | integer | SEL | 0% | 22 | 09007, 09020, 10002, 10004, 10005 |
admin_name |
admin_name | string | SEL | 0% | 22 | Lienchiang County, Kinmen County, Yilan County, Hsinchu... |
population_count |
population_count | integer | SEL | 0% | 22 | 13643, 137716, 448513, 598260, 529791 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | integer | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
region_name_zh |
region_name_zh | string | 0% | 22 | 連江縣, 金門縣, 宜蘭縣, 新竹縣, 苗栗縣 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
admin_code | integer | SEL | 0% | 100 | 0900701, 0900702, 0900703, 0900704, 0902001 |
admin_name |
admin_name | string | SEL | 0% | 100 | 南竿鄉, 北竿鄉, 莒光鄉, 東引鄉, 金城鎮 |
population_count |
population_count | integer | SEL | 0% | 100 | 7635, 2878, 1583, 1547, 40419 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | integer | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
county_code |
county_code | integer | 0% | 8 | 09007, 09007, 09007, 09007, 09020 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
admin_code | integer | SEL | 0% | 100 | 65000010001, 65000010002, 65000010003, 65000010004, 65000010005 |
admin_name |
admin_name | string | SEL | 0% | 100 | 留侯里, 流芳里, 赤松里, 黃石里, 挹秀里 |
population_count |
population_count | integer | SEL | 0% | 100 | 1623, 1441, 1090, 1267, 1904 |
population_male |
population_male | integer | SEL | 0% | 98 | 780, 647, 500, 612, 931 |
population_female |
population_female | integer | SEL | 0% | 100 | 843, 794, 590, 655, 973 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
year |
year | integer | 0% | 1 | 2026, 2026, 2026, 2026, 2026 |
region_name_zh |
region_name_zh | string | 0% | 100 | 新北市板橋區留侯里, 新北市板橋區流芳里, 新北市板橋區赤松里, 新北市板橋區黃石里, 新北市板橋區挹秀里 |
township_code |
township_code | integer | 0% | 1 | 6500001, 6500001, 6500001, 6500001, 6500001 |
county_code |
county_code | integer | 0% | 1 | 65000, 65000, 65000, 65000, 65000 |
| 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 | TWN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Republic Of China |
admin_code |
Admin code | string | SEL | 0% | 1 | 7377636B13659935760300 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 36955.2589 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 22906916 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 619.86 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN, TWN, TWN, TWN, TWN |
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% | 22 | New Taipei, Taichung, Kaohsiung, Taipei, Taoyuan |
admin_code |
Admin code | string | SEL | 0% | 22 | 90331920B2879670148147, 90331920B14152728161970,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 22 | 2066.8826, 2225.7555, 2968.2448, 269.0186, 1205.3327 |
pop_2024 |
Population count | integer | SEL | 0% | 22 | 4014125, 2814810, 2741273, 2638544, 2246369 |
pop_density_2024 |
Population density | float | SEL | 0% | 22 | 1942.12, 1264.65, 923.53, 9808.04, 1863.69 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN, TWN, TWN, TWN, TWN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 21 | Taipei, Kaohsiung, Taichung, Tainan, Hsinchu |
admin_code |
Admin code | integer | SEL | 0% | 21 | 1142, 1919, 906, 1744, 501 |
area_sqkm |
Area sqkm | float | SEL | 0% | 21 | 967.8031, 370.2481, 311.6063, 201.0578, 145.3627 |
pop_2024 |
Population count | integer | SEL | 0% | 21 | 8113516, 2099979, 1921060, 932093, 678944 |
pop_density_2024 |
Population density | float | SEL | 0% | 21 | 8383.44, 5671.82, 6165.02, 4635.95, 4670.69 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 21 | 9686521, 2294772, 2318377, 1010792, 713497 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 20 | 0.838, 0.915, 0.829, 0.922, 0.952 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 21 | Taipei, Taichung, Kaohsiung, Tainan, Hsinchu |
country_code |
Country code | string | SEL | 0% | 1 | TWN, TWN, TWN, TWN, TWN |
population |
Population count | integer | SEL | 0% | 21 | 9686521, 2318377, 2294772, 1010792, 713497 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 21 | 1142, 906, 1919, 1744, 501 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Taiwan, Taiwan, Taiwan, Taiwan, Taiwan |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 16 | chin1283, hakk1236, kana1286, kava1241, kulo1237 |
name |
Name | string | CCL | 0% | 16 | Chinese Sign Language, Hakka Chinese, Kanakanavu,... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 16 | csl, hak, xnb, ckv, pzh |
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% | 4 | sign1238, sino1245, aust1307, aust1307, aust1307 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 14 | nucl1761, midd1354, kana1292, nort2900, nort2899 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 3 | ['CN', 'MY', 'TW'], ['CN', 'TW'], ['CN', 'TW'], ['CN',... |
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% | 8 | 2, 21, 0, 1, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 16 | 30.9063, 25.0, 23.3235, 24.6947, 23.7562 |
longitude |
longitude | float | 0% | 16 | 121.569, 116.0, 120.887, 121.645, 120.976 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 43.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 128.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .tw |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 90.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 25.0 |
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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 | 10 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 10.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 43 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 29.8 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 29.8 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 128 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 5 national TV networks with about 22 stations; over 300... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 5.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 90% (2021 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 5,831,470 (2019 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 5831470.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 25 (2019 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 611.391 |
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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 East Asian economy; most technologically... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $1.743 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 | 1.743 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $1.664 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 | 1.664 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text |
Real gdp purchasing power parity 2021 (text) | string | 0% | 1 | $1.512 trillion (2021 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric |
Real gdp purchasing power parity 2021 (numeric) | float | 0% | 1 | 1.512 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 1.28% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 1.28 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.59% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.59 |
real_gdp_growth_rate_real_gdp_growth_rate_2021_text |
Real gdp growth rate 2021 (text) | string | 0% | 1 | 6.62% (2021 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric |
Real gdp growth rate 2021 (numeric) | float | 0% | 1 | 6.62 |
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_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $32,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 32300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $32,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 32600.0 |
real_gdp_per_capita_real_gdp_per_capita_2021_text |
Real gdp per capita 2021 (text) | string | 0% | 1 | $32,900 (2021 est.) |
real_gdp_per_capita_real_gdp_per_capita_2021_numeric |
Real gdp per capita 2021 (numeric) | float | 0% | 1 | 32900.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data are in current dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $611.391 billion (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 2.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 2.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.5% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 2.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 2.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_end_use_household_consumption_text |
gdp_composition_by_end_use_household_consumption_text | string | 0% | 1 | 48.3% (2023 est.) |
| +77 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 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 64.535 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 64.535 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 270.648 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 270.648 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 7.907 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 7.907 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 84.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 84.2 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 6.4% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 6.4 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 4.6% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 4.6 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 2.2% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 2.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 1.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 1.2 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.3 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 1 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 1.0 |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_text | string | 0% | 1 | 0.94GW (2025 est.) |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric |
nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 0.94 |
nuclear_energy_percent_of_total_electricity_production_text |
nuclear_energy_percent_of_total_electricity_production_text | string | 0% | 1 | 6.9% (2023 est.) |
nuclear_energy_percent_of_total_electricity_production_numeric |
nuclear_energy_percent_of_total_electricity_production_numeric | float | 0% | 1 | 6.9 |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text | string | 0% | 1 | 5 (2025) |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric | float | 0% | 1 | 5.0 |
coal_production_text |
coal_production_text | string | 0% | 1 | 5.212 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 5.212 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 64.609 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 64.609 |
| +24 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 | 22.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 80.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.65 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 7.336 |
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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 pollution; water pollution from industrial... |
climate_text |
climate_text | string | 0% | 1 | tropical; marine; rainy season during southwest monsoon... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 22% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 16.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 16.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0% (2022 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.0 |
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 | 78% (2022 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 78.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 80.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.65% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 289.109 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 289.109 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 140.734 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 | 140.734 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 92.014 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 | 92.014 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 56.361 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 | 56.361 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 7.336 million tons (2015 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 13.8% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 13.8 |
total_renewable_water_resources_text |
total_renewable_water_resources_text | string | 0% | 1 | 67 cubic meters (2011) |
total_renewable_water_resources_numeric |
total_renewable_water_resources_numeric | float | 0% | 1 | 67.0 |
source_section |
source_section | string | 0% | 1 | Environment |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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 | Taiwan (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Taiwan (or Taiwanese) |
nationality_note |
nationality_note | string | 0% | 1 | note: example - he or she is from Taiwan; they are from Taiwan |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Han Chinese (including Holo, who compose approximately... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 70.0 |
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/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 35980.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 32260.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 3720.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 1566.3 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3952.0 |
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 | 22.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 3820.0 |
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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, islands bordering the East China Sea,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 23 30 N, 121 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 23.0 |
map_references_text |
map_references_text | string | 0% | 1 | Southeast Asia |
area_total_text |
area_total_text | string | 0% | 1 | 35,980 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 32,260 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 3,720 sq km |
area_note |
area_note | string | 0% | 1 | note: includes the Pescadores, Matsu, and Kinmen islands |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Maryland and Delaware combined |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 1,566.3 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_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 |
climate_text |
climate_text | string | 0% | 1 | tropical; marine; rainy season during southwest monsoon... |
terrain_text |
terrain_text | string | 0% | 1 | eastern two-thirds mostly rugged mountains; flat to... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Yu Shan 3,952 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | South China Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,150 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1150.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | small deposits of coal, natural gas, limestone, marble,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 22% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 16.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 16.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0% (2022 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.0 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0% (2022 est.) |
| +9 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 | TWN |
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 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Taiwan |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | none |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Taiwan |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Formosa |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name may derive from the Chinese words tai (terrace)... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1590.0 |
government_type_text |
government_type_text | string | 0% | 1 | semi-presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Taipei |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 25 02 N, 121 31 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 25.0 |
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_etymology_text |
capital_etymology_text | string | 0% | 1 | the name means "Northern Taiwan," from the Chinese words... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | includes main island of Taiwan, plus smaller islands... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 13.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1912, 1931; latest adopted 25 December 1946,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1912.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by at least one fourth of the Legislative Yuan... |
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 | at least one parent must be a citizen of Taiwan |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes, except that citizens of Taiwan are not recognized... |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 20 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 20.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President LAI Ching-te (since 20 May 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 20.0 |
| +63 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 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | First inhabited by Austronesian people, Taiwan became... |
background_numeric |
background_numeric | float | 0% | 1 | 17.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Mandarin (official), Min Nan, Hakka dialects,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 16.0 |
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 (Mandarin)The World Factbook, the... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 380 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 380.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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 | Taiwan Armed Forces: Army, Navy (includes Marine Corps),... |
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 | 2.4% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.4 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.1% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 170,000 active duty Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 170000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory is a mix of domestically... |
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 | men 18-36 years of age may volunteer or must complete 12... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the military’s primary responsibility is external... |
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/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 23600776.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 11596835.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 12003941.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 12.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 69.0 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 18.8 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 46.5 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 17.7 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 28.7 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 45.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.02 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 7.22 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.18 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 1.17 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 80.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.65 |
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 | 0.97 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 3.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 81.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.12 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.54 |
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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 | 23,600,776 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 11,596,835 |
population_female_text |
population_female_text | string | 0% | 1 | 12,003,941 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 12.1% (male 1,472,059/female 1,391,031) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 69% (male 8,132,356/female 8,155,582) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 18.8% (2024 est.) (male 2,002,076/female 2,442,170) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 46.5 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 17.7 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 28.7 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 3.5 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 3.5 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 45.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 43.6 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 43.6 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 45.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 45.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.02% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 7.22 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.18 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 1.17 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | distribution exhibits a peripheral coastal settlement... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 80.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.65% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 4.504 million New Taipei City, 2.754 million TAIPEI... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 4.504 |
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 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.0 |
| +17 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 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 35.3 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 3.9 |
composition_ethnicity_primary_label_synth |
Han Chinese (including Holo, who compose approximately of Taiwan's population, Hakka, and other groups originating in mainland China) more than 95% | string | CCL | 0% | - | Han Chinese (including Holo, who compose approximately... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Buddhist 35.3%, Taoist 33.2%, Christian 3.9%, folk... |
religions_numeric |
religions_numeric | float | 0% | 1 | 35.3 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_taoist_pct_synth |
Taoist | numeric | 0% | - | 33.2 |
composition_religion_folk_religion_includes_confucian_approximately_pct_synth |
folk religion (includes Confucian) approximately | numeric | 0% | - | 10.0 |
composition_religion_none_or_unspecified_pct_synth |
none or unspecified | numeric | 0% | - | 18.2 |
composition_ethnicity_han_chinese_including_holo_who_compose_approximately_of_taiwan_s_population_hakka_and_other_groups_originating_in_mainland_china_more_than_95_pct_synth |
Han Chinese (including Holo, who compose approximately of Taiwan's population, Hakka, and other groups originating in mainland China) more than 95% | numeric | 0% | - | 70.0 |
composition_ethnicity_indigenous_malayo_polynesian_peoples_pct_synth |
indigenous Malayo-Polynesian peoples | numeric | 0% | - | 2.3 |
composition_ethnicity_primary_share_pct_synth |
Han Chinese (including Holo, who compose approximately of Taiwan's population, Hakka, and other groups originating in mainland China) more than 95% | numeric | 0% | - | 70.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Taiwan Space Agency (TASA; renamed and reorganized in... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2023.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | sounding rockets launched from Jui Peng Air Base... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 2025.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has had a national space program since the early 1990s,... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 1990.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1997 - launched first sounding rocket1999 - first... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1997.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
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/tw.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 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 57.0 |
country_code |
Country code | string | SEL | 0% | 1 | TWN |
country_name |
Country name | string | SEL | 0% | 1 | Taiwan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 57 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 56 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 56.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 1,613.1 km (2018) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 1613.1 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 345 km (2018) 1.435-m gauge (345 km electrified) |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 345.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 1,118.1 km (2018) 1.067-m gauge (793.9 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 1118.1 |
railways_note |
railways_note | string | 0% | 1 | 150 0.762-m gauge note: the 0.762-gauge track belongs to... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 465 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 465.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 29, container ship 53, general cargo 58,... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 29.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 8 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 8.0 |
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 | 3 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 3.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 2 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 2.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 8 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 8.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Chi-Lung, Hua-Lien Kang, Kao-Hsiung, Su-Ao |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/tw.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN, TWN, TWN, TWN, TWN |
society_id |
Society id | string | CCL | 0% | 6 | Ia1, Ia10, Ia11, Ia14, Ia6 |
society_name |
Society name | string | CCL | 0% | 6 | Atayal, Bunun, Puyuma, Tao, Paiwan |
language_glottocode |
Language glottocode | string | CCL | 0% | 6 | atay1247, bunu1267, puyu1239, yami1254, paiw1248 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 4 | EA001:0; EA002:2; EA003:1; EA004:1; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 6 | EA006:1; EA007:8; EA008:6; EA009:1; EA010:12, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 6 | EA028:3; EA029:6; EA030:7; EA031:3; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 4 | EA033:2; EA034:1; EA035:2, EA033:1; EA034:2; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 5 | EA034:1; EA112:1, EA034:2; EA112:NA, EA034:NA; EA112:3,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 5 | EA011:2; EA012:12; EA013:3, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Taiwan, Taiwan, Taiwan, Taiwan, Taiwan |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 5 | 24.0, 24.0, 23.0, 22.05, 22.44 |
longitude |
longitude | float | 0% | 4 | 121.0, 121.0, 121.0, 121.55, 120.77 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN, TWN, TWN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Taiwanese, Mainland Chinese, Indigenous/Aboriginal Taiwanese |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | SENIOR PARTNER, JUNIOR PARTNER, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.84, 0.14, 0.02 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 71303000, 71302000, 71301000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | TWN, TWN |
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 | 173359, 2565 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 98.542, 1.458 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 44249, 1 |
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 | TWN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Taiwan |
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 | 99.9658 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 44920 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 181449 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 44482 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 181387 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 62 |
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_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 65993 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 16135 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 32663 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 8174 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 52542 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 12780 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 10976 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2495 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 15356 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 4027 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1970 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 444 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1919 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 420 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 2 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 1 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 28 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TWN |
| 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) | 173,359 | 98.5% | Han (Traditional variant) |
| English (eng) | 2,565 | 1.5% | — |
44,482 distinct features ·
2 languages ·
2 scripts ·
44,920 names in non-Roman script ·
62 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 |
|---|---|---|
| Directorate-General of Budget, Accounting and Statistics (DGBAS) | official_nso | pdf_only |
| Ministry of the Interior — Dept. of Household Registration | official_government | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| World Values Survey | academic | metadata_catalog |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | 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.