ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ, KGZ, KGZ, KGZ, KGZ |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 9 | Total, Batken, Bishkek, Chuy, Issyk-Kul |
human_development_index |
Human development index | float | SEL | 0% | 70 | 0.657, 0.608, 0.725, 0.672, 0.672 |
health_index |
Health index | float | SEL | 0% | 76 | 0.69, 0.644, 0.722, 0.719, 0.739 |
education_index |
Education index | float | SEL | 0% | 64 | 0.661, 0.618, 0.759, 0.654, 0.672 |
income_index |
Income index | float | SEL | 0% | 77 | 0.622, 0.565, 0.693, 0.646, 0.612 |
life_expectancy |
Life expectancy | float | SEL | 0% | 97 | 64.83, 61.83, 66.96, 66.75, 68.03 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 9.915, 8.851, 11.59, 9.994, 10.06 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 12 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KG, KG, KG, KG, KG |
population_count |
Population count | float | SEL | 2% | 65 | 2172300.0, 2255900.0, 2333400.0, 2413700.0, 2495300.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 55.0285853658537, 55.3341219512195, 55.641756097561,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 47% | 35 | 605.798144966488, 569.548584035047, 512.766741120388,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 97% | 2 | 98.6999969482422, 99.2399978637695 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 26% | 48 | 114.6, 111.7, 108.7, 105.7, 102.6 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 74% | 16 | 39.9, 35.0, 31.7, 31.7, 33.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kyrgyz Republic, Kyrgyz Republic, Kyrgyz Republic,... |
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 | KG, KG, KG, KG, KG |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 55.0285853658537, 55.3341219512195, 55.641756097561,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 32% | 41 | 29.6, 28.9, 28.2, 27.3, 26.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 26% | 48 | 114.6, 111.7, 108.7, 105.7, 102.6 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 24 | 81.0, 76.0, 74.0, 73.0, 71.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 43 | 5.309, 5.364, 5.421, 5.479, 5.433 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 58 | 41.553, 41.192, 40.602, 39.856, 38.352 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 49 | 16.271, 15.847, 15.391, 14.938, 14.444 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 47% | 35 | 3.088, 3.373, 3.388, 3.304, 3.037 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 33% | 42 | 12.0114002227783, 12.1184997558594, 12.1033000946045,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 50% | 16 | 84.0, 64.0, 82.0, 93.0, 98.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.41414976, 4.27703238, 4.59219551, 5.82382107, 6.20281315 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kyrgyz Republic, Kyrgyz Republic, Kyrgyz Republic,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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 |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 10 | #adm1 +pcode, 4.1702E+13, 4.1703E+13, 4.1704E+13, 4.1705E+13 |
region_name |
Region name | string | SEL | 0% | 10 | #adm1 +name +i_en, Issyk-Kul, Jalal-Abad, Naryn, Batken |
T_TL |
Total population | string | SEL | 0% | 10 | #population+all, 482,983, 1,190,579, 283,879, 513,592 |
M_TL |
Male population | string | SEL | 0% | 10 | #population+m+all, 240,431, 598,780, 144,435, 261,421 |
F_TL |
Female population | string | SEL | 0% | 10 | #population+f+all, 242,552, 591,799, 139,444, 252,171 |
| 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 |
Reference year | integer | 0% | 1 | 2018, 2018, 2018, 2018, 2018 |
Country |
Country | string | 0% | 2 | #country +v_iso2, KG, KG, KG, KG |
admin1Name_ru |
admin1Name_ru | string | 0% | 9 | #adm1 +name +i_ru, �����-��������, ������-��������,... |
admin1Name_ky |
admin1Name_ky | string | 0% | 9 | #adm1 +name +i_ky, ����-�?�, ���������, �����, ������ |
admin1Type_en |
admin1Type_en | string | 0% | 3 | #loc +i_en, province, province, province, province |
admin1Type_ru |
admin1Type_ru | string | 0% | 3 | #loc +i_ru, �������, �������, �������, ������� |
admin1Type_ky |
admin1Type_ky | string | 0% | 3 | #loc +i_ky, oblast, oblast, oblast, oblast |
Urban_pop |
Urban_pop | string | 0% | 10 | #population+urban, 139,036, 259,151, 39,338, 121,151 |
Rural_pop |
Rural_pop | string | 0% | 10 | #population+rural, 343,947, 931,428, 244,541, 392,441 |
Number_of_male_from_0to4 |
Number_of_male_from_0to4 | string | 0% | 10 | #population+m+infants+age_0_4, 27,940, 77,584, 16,660, 36,340 |
Number_of_male_from_5to9 |
Number_of_male_from_5to9 | string | 0% | 10 | #population+m+children+age_5_9, 26,997, 70,206, 16,920, 30,963 |
Number_of_male_from_10to14 |
Number_of_male_from_10to14 | string | 0% | 10 | #population+m+children+age_10_14, 23,117, 57,045, 15,294, 23,573 |
Number_of_male_from_15to19 |
Number_of_male_from_15to19 | string | 0% | 10 | #population+m+adolescents+age_15_19, 20,445, 52,609,... |
Number_of_male_from_20to24 |
Number_of_male_from_20to24 | string | 0% | 10 | #population+m+adults+age_20_24, 22,356, 58,666, 14,334, 25,020 |
Number_of_male_from_25to29 |
Number_of_male_from_25to29 | string | 0% | 10 | #population+m+adults+age_25_29, 20,817, 55,743, 11,678, 23,923 |
Number_of_male_from_30to34 |
Number_of_male_from_30to34 | string | 0% | 10 | #population+m+adults+age_30_34, 18,365, 49,146, 10,055, 22,175 |
Number_of_male_from_35to39 |
Number_of_male_from_35to39 | string | 0% | 10 | #population+m+adults+age_35_39, 14,606, 37,844, 8,352, 16,656 |
Number_of_male_from_40to44 |
Number_of_male_from_40to44 | string | 0% | 10 | #population+m+adults+age_40_44, 12,959, 31,402, 7,849, 13,339 |
Number_of_male_from_45to49 |
Number_of_male_from_45to49 | string | 0% | 10 | #population+m+adults+age_45_49, 12,590, 28,209, 7,282, 11,983 |
Number_of_male_from_50to54 |
Number_of_male_from_50to54 | string | 0% | 10 | #population+m+adults+age_50_54, 11,704, 25,081, 6,580, 10,474 |
Number_of_male_from_55to59 |
Number_of_male_from_55to59 | string | 0% | 10 | #population+m+adults+age_55_59, 11,112, 22,539, 5,870, 9,622 |
Number_of_male_from_60to64 |
Number_of_male_from_60to64 | string | 0% | 10 | #population+m+adults+age_60_64, 7,502, 14,594, 3,942, 6,084 |
Number_of_male_from_65to69 |
Number_of_male_from_65to69 | string | 0% | 10 | #population+m+elderly+age_65_69, 4,576, 8,622, 2,414, 3,700 |
Number_of_male_from_70to74 |
Number_of_male_from_70to74 | string | 0% | 10 | #population+m+elderly+age_70_74, 1,890, 2,971, 1,051, 1,433 |
Number_of_male_from_75to79 |
Number_of_male_from_75to79 | string | 0% | 10 | #population+m+elderly+age_75_79, 1,799, 3,027, 1,185, 1,516 |
Number_of_male_from_80to84 |
Number_of_male_from_80to84 | string | 0% | 10 | #population+m+elderly+age_80_84, 969, 1,766, 653, 1,006 |
Number_of_male_from_85to89 |
Number_of_male_from_85to89 | string | 0% | 10 | #population+m+elderly+age_85_89, 439, 994, 344, 514 |
Number_of_male from_90to94 |
Number_of_male from_90to94 | string | 0% | 10 | #population+m+elderly+age_90_94, 187, 574, 139, 327 |
Number_of_male_from_95to99 |
Number_of_male_from_95to99 | string | 0% | 10 | #population+m+elderly+age_95_99, 44, 132, 29, 79 |
| +22 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 16 | #adm2 +pcode, 4.17022E+13, 4.17022E+13, 4.17022E+13, 4.17022E+13 |
region_name |
Region name | string | SEL | 0% | 54 | #adm2 +name +i_en, Ak-Suu, Jeti-Oguz, Issyk-Kul, Ton |
T_TL |
Total population | string | SEL | 0% | 52 | #population +all, 68,300, 90,400, 82,100, 52,600 |
| 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 |
Reference year | integer | 0% | 1 | 2018, 2018, 2018, 2018, 2018 |
Country |
Country | string | 0% | 2 | #country +v_iso2, KG, KG, KG, KG |
admin1Name_ru |
admin1Name_ru | string | 0% | 7 | #adm1 +name +i_ru, �����-��������, �����-��������,... |
admin2Name_ru |
admin2Name_ru | string | 0% | 26 | #adm2 +name +i_ru, ��-�������, ����-��������,... |
admin2Type_ru |
admin2Type_ru | string | 0% | 3 | #loc +i_ru, �����, �����, �����, ����� |
admin2Type_ky |
admin2Type_ky | string | 0% | 3 | #loc +i_ky, raion, raion, raion, raion |
admin2Type_en |
admin2Type_en | string | 0% | 3 | #loc +i_en, district, district, district, district |
Urban_pop |
Urban_pop | string | 0% | 28 | #population+urban, 0, 0, 13,300, 0 |
Rural_pop |
Rural_pop | string | 0% | 48 | #population+rural, 68,300, 90,400, 68,800, 52,600 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Kyrgyzstan |
admin_code |
Admin code | string | SEL | 0% | 1 | 96190653B97306347695834 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 198666.3238 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 6236637 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 31.39 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ, KGZ, KGZ, KGZ, KGZ |
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% | 7 | Chuy Region, Osh Region, Jalal-Abad Region, Batken... |
admin_code |
Admin code | string | SEL | 0% | 7 | 38789647B49701521312730, 38789647B74878035894071,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 7 | 20188.5647, 28726.3876, 29683.9751, 17301.9151, 42061.3885 |
pop_2024 |
Population count | integer | SEL | 0% | 7 | 1907564, 1588010, 1169767, 563596, 462748 |
pop_density_2024 |
Population density | float | SEL | 0% | 7 | 94.49, 55.28, 39.41, 32.57, 11.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ, KGZ, KGZ, KGZ, KGZ |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 8 | Bishkek, Osh, Jalal-Abad, Kara-Balta, Özgön |
admin_code |
Admin code | integer | SEL | 0% | 8 | 764, 628, 485, 162, 1012 |
area_sqkm |
Area sqkm | float | SEL | 0% | 8 | 197.8988, 83.9115, 38.9626, 29.9844, 18.981 |
pop_2024 |
Population count | integer | SEL | 0% | 8 | 1004197, 328645, 109339, 48685, 46999 |
pop_density_2024 |
Population density | float | SEL | 0% | 8 | 5074.3, 3916.57, 2806.26, 1623.68, 2476.11 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 8 | 1428079, 481389, 122863, 62858, 86254 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 8 | 0.703, 0.683, 0.89, 0.775, 0.545 |
| 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 | 3.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 107.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .kg |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 89.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 6.0 |
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | 185,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 185000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 7.72 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 7.72 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 107 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-funded public TV broadcaster NTRK operates Ala-Too... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 24.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 89% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 456,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 456000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 6 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.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 | 7000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 17.478 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 33.3 |
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | landlocked, lower-middle-income Central Asian economy;... |
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 | $50.907 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 | 50.907 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $46.686 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 | 46.686 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $42.826 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 | 42.826 |
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 | 9% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 9.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 9% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 9.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 9.0 |
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 | $7,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $6,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 6600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $6,100 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 6100.0 |
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 | $17.478 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 10.8% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 10.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 13.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 13.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 11.9% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 11.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +119 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 | 99.7 |
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | 99.7% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 99.6% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 99.6 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 3.944 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.944 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 14.872 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 14.872 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 428.01 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 428.01 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 3.929 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 3.929 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 2.363 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 2.363 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 14.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 14.3 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 85.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 85.7 |
coal_production_text |
coal_production_text | string | 0% | 1 | 3.685 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 3.685 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 4.212 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 4.212 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 1.672 million metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 1.672 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 1.443 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 1.443 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 28.499 billion metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 28.499 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 6,000 bbl/day (2023 est.) |
| +17 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 | 54.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 6.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 37.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.05 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.113 |
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | water pollution; increasing soil salinity from... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Air Pollution, Biodiversity, Climate Change, Climate... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | dry continental to polar in high Tien Shan Mountains;... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 54% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 6.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 6.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 46.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 46.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 6.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 39.4% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 39.4 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 37.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.05% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 11.389 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 11.389 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 6.301 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 | 6.301 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 4.234 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 | 4.234 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 854,000 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 | 854000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 40.9 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 40.9 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.113 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 | 14.6% (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 | 14.6 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 224 million cubic meters (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 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | Kyrgyzstani(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Kyrgyzstani |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Kyrgyz 73.8%, Uzbek 14.8%, Russian 5.1%, Dungan 1.1%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 73.8 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 199951.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 191801.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 8150.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 4573.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 7439.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 132.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 54.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 6.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 10041.0 |
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central Asia, west of China, south of Kazakhstan |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 41 00 N, 75 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 41.0 |
map_references_text |
map_references_text | string | 0% | 1 | Asia |
area_total_text |
area_total_text | string | 0% | 1 | 199,951 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 191,801 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 8,150 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than South Dakota |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 4,573 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | China 1,063 km; Kazakhstan 1,212 km; Tajikistan 984 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1063.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | dry continental to polar in high Tien Shan Mountains;... |
terrain_text |
terrain_text | string | 0% | 1 | peaks of the Tien Shan mountain range and associated... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Jengish Chokusu (Pik Pobedy) 7,439 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Kara-Daryya (Karadar'ya) 132 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 2,988 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 2988.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | abundant hydropower; gold, rare earth metals; locally... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 54% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 6.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 6.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 46.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 46.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 6.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 39.4% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 39.4 |
| +13 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 | KGZ |
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 | Kyrgyz Republic |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Kyrgyzstan |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Kyrgyz Respublikasy |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Kyrgyzstan |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for the local Kyrgyz people, with "-stan" coming... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Bishkek |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 42 52 N, 74 36 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 42.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+6 (11 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 6.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the meaning of the name is unknown; the city was founded... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1862.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 7 provinces (oblustar, singular - oblus) and 2 cities*... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 7.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system that includes features of French civil... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1993, 2007, 2010; latest approved by referendum in 2021 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1993.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed as a draft law by the majority of the Supreme... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 300000.0 |
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 Kyrgyzstan |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes, but only if a mutual treaty on dual citizenship is in force |
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 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Sadyr JAPAROV (since 28 January 2021) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 28.0 |
| +75 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 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Kyrgyzstan is a Central Asian country of incredible... |
background_numeric |
background_numeric | float | 0% | 1 | 1876.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Kyrgyz (state language) 71.4%, Uzbek 14.4%, Russian... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 71.4 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Дүйнөлүк фактылар китеби, негизги маалыматтын маанилүү... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | 25,413 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 25413.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 12 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 12.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 925 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 925.0 |
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 | central-asia/kg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | Armed Forces of the Kyrgyz Republic: Land Forces (Kygyz... |
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 | 3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 3.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 3.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.8% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.8 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 3.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | limited available information; estimated 10-15,000... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 10.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Kyrgyz military inventory is comprised almost... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-27 years of age for compulsory or voluntary service... |
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 Kyrgyz military’s primary responsibility is defense... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1994.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 6219751.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 3043940.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 3175811.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 29.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 64.0 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 6.9 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 56.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 44.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 11.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 28.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.75 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 18.26 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.99 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -4.75 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 37.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.05 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.07 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.96 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 42.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 24.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 72.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.43 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.18 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.85 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 4.2 |
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
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 | 6,219,751 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 3,043,940 |
population_female_text |
population_female_text | string | 0% | 1 | 3,175,811 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 29.1% (male 922,086/female 873,245) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 64% (male 1,935,200/female 2,013,733) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 6.9% (2024 est.) (male 164,032/female 263,805) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 56 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 44.6 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 11.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 8.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 8.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 28.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 26.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 26.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 29.8 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 29.8 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.75% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 18.26 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.99 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -4.75 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the vast majority of Kyrgyzstanis live in rural areas;... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 37.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.05% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.105 million BISHKEK (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.105 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.07 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 | 0.96 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.96 |
| +86 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 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 90.0 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 7.0 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 3.0 |
composition_ethnicity_primary_label_synth |
Kyrgyz | string | CCL | 0% | - | Kyrgyz |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 90% (majority Sunni), Christian 7% (Russian... |
religions_numeric |
religions_numeric | float | 0% | 1 | 90.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_christian__russian_orthodox_pct_synth |
Russian Orthodox | numeric | 0% | - | 3.0 |
composition_ethnicity_kyrgyz_pct_synth |
Kyrgyz | numeric | 0% | - | 73.8 |
composition_ethnicity_uzbek_pct_synth |
Uzbek | numeric | 0% | - | 14.8 |
composition_ethnicity_russian_pct_synth |
Russian | numeric | 0% | - | 5.1 |
composition_ethnicity_dungan_pct_synth |
Dungan | numeric | 0% | - | 1.1 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 5.2 |
composition_ethnicity_primary_share_pct_synth |
Kyrgyz | numeric | 0% | - | 73.8 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | US-designated foreign terrorist groups such as the... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.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 | EX |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 28.0 |
country_code |
Country code | string | SEL | 0% | 1 | KGZ |
country_name |
Country name | string | SEL | 0% | 1 | Kyrgyzstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 28 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 1 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 1.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 424 km (2022) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 424.0 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 424 km (2018) 1.520-m gauge |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 424.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 13 | 20.9, 41.5, 19.5, 19.7, 24.9 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 10 | 45.0, 24.0, 21.0, 24.0, 24.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 12 | 52.0, 26.0, 33.0, 30.0, 28.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 13 | 65.8, 62.8, 58.5, 48.5, 85.2 |
children_underweight |
Children underweight | float | CCL | 0% | 12 | 4.9, 5.0, 2.8, 1.1, 4.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kyrgyz Republic, Kyrgyz Republic, Kyrgyz Republic,... |
survey_year |
survey_year | integer | 0% | 2 | 2012, 1997, 2012, 2012, 2012 |
region |
region | string | 0% | 12 | Batken, Bishkek, Bishkek, Chui, Djalal-Abad |
survey_id |
survey_id | string | 0% | 2 | KY2012DHS, KY1997DHS, KY2012DHS, KY2012DHS, KY2012DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | KGZ, KGZ, KGZ, KGZ, KGZ |
gns_language_code |
gns_language_code | string | CCL | 0% | 9 | rus, kir, uzb, eng, kaz |
gns_language_name |
gns_language_name | string | CCL | 0% | 9 | Russian, Kirghiz, Uzbek, English, Kazakh |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 9 | 15753, 895, 644, 161, 68 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 9 | 89.6024, 5.0907, 3.663, 0.9158, 0.3868 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 5 | 7641, 35, 0, 0, 33 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Cyrl, Cyrl, , , Cyrl |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Cyrillic, Cyrillic, , , Cyrillic |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 2, 1, 0, 0, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | KGZ |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Kyrgyzstan |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 9 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 3 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9647 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 7733 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 19827 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 8230 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 19820 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 7 |
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 | 7026 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 2621 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 6612 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2893 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4453 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1942 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 957 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 457 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 530 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 255 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 246 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 60 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 3 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 9 | crim1257, dung1253, kara1467, kaza1248, kirg1245 |
name |
Name | string | CCL | 0% | 9 | Crimean Tatar, Dungan, Kara-Kalpak, Kazakh, Kirghiz |
iso639_3 |
Iso639 3 | string | CCL | 0% | 9 | crh, dng, kaa, kaz, kir |
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% | 3 | turk1311, sino1245, turk1311, turk1311, turk1311 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 8 | crim1259, zhon1236, sout2701, sout2701, east2791 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 9 | ['BG', 'KG', 'LT', 'MD', 'RO', 'RU', 'TR', 'UA', 'UZ'],... |
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% | 6 | 3, 3, 2, 3, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 9 | 45.0, 42.7292, 39.98005, 51.17, 42.0 |
longitude |
longitude | float | 0% | 9 | 34.08, 76.8382, 63.32233, 71.454, 74.0 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 8 | Bishkek, Osh, Jalal-Abad, Özgön, Nookat |
country_code |
Country code | string | SEL | 0% | 1 | KGZ, KGZ, KGZ, KGZ, KGZ |
population |
Population count | integer | SEL | 0% | 8 | 1428079, 481389, 122863, 86254, 63786 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 8 | 764, 628, 485, 1012, 892 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Kyrgyzstan, Kyrgyzstan, Kyrgyzstan, Kyrgyzstan, Kyrgyzstan |
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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KGZ, KGZ, KGZ, KGZ |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | Kyrgyz, Uzbeks, Russians, Uyghur |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | DOMINANT, DISCRIMINATED, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 4 | 0.649, 0.138, 0.125, 0.01 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 70301000, 70305000, 70302000, 70304000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | KGZ |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 143 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 3 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 3 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 138 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 3.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 3 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 51 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 5.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 164 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 2 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 2 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 78 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | integer | 0% | 1 | 6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 6.25 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 101 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.63 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.4 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 105 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 6 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 6.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 85 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.32 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.33 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 134 |
| +74 more pending 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 | KGZ |
| 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. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Russian (rus) | 15,753 | 89.6% | Cyrillic +1 |
| Kirghiz (kir) | 895 | 5.1% | Cyrillic |
| Uzbek (uzb) | 644 | 3.7% | — |
| English (eng) | 161 | 0.9% | — |
| Kazakh (kaz) | 68 | 0.4% | Cyrillic |
| Chinese (zho) | 35 | 0.2% | Han (Simplified variant) |
| Tajik (tgk) | 20 | 0.1% | Cyrillic |
8,230 distinct features ·
9 languages ·
3 scripts ·
7,733 names in non-Roman script ·
7 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 |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Global Data Lab | academic | api |
| World Values Survey | academic | metadata_catalog |
| Ethnic Power Relations Dataset | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| USAID DHS Program (US Agency for International Development · Demographic and Health Surveys) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| 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.