ⓘ 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 | KAZ, KAZ, KAZ, KAZ, KAZ |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 7 | Total, Almaty city, Central region (Karagandinskaya),... |
human_development_index |
Human development index | float | SEL | 0% | 67 | 0.722, 0.799, 0.728, 0.728, 0.731 |
health_index |
Health index | float | SEL | 0% | 64 | 0.703, 0.74, 0.705, 0.716, 0.727 |
education_index |
Education index | float | SEL | 0% | 77 | 0.678, 0.796, 0.686, 0.67, 0.665 |
income_index |
Income index | float | SEL | 0% | 73 | 0.789, 0.867, 0.797, 0.806, 0.807 |
life_expectancy |
Life expectancy | float | SEL | 0% | 95 | 65.7, 68.07, 65.81, 66.51, 67.27 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 91 | 10.17, 11.72, 10.38, 9.969, 10.01 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 15 | 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 | KZ, KZ, KZ, KZ, KZ |
population_count |
Population count | float | SEL | 2% | 65 | 9429981.0, 9742085.0, 10058928.0, 10377466.0, 10690309.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 57.946, 58.169, 58.392, 58.612, 58.83 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 47% | 35 | 1570.00883112591, 1442.42455540825, 1437.59848100913,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 96% | 3 | 97.5299987792969, 99.5100021362305, 99.7300033569336 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 20% | 50 | 85.4, 83.3, 81.4, 79.6, 78.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 89% | 4 | 4.3, 4.3, 5.3, 5.2, 5.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kazakhstan, Kazakhstan, Kazakhstan, Kazakhstan, Kazakhstan |
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 | KZ, KZ, KZ, KZ, KZ |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 57.946, 58.169, 58.392, 58.612, 58.83 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 21% | 40 | 26.8, 26.4, 26.1, 25.8, 25.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 20% | 50 | 85.4, 83.3, 81.4, 79.6, 78.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 30 | 68.0, 67.0, 66.0, 65.0, 64.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 4.495, 4.424, 4.357, 4.264, 4.071 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 36.826, 36.029, 34.927, 33.416, 31.099 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 12.857, 12.555, 12.243, 11.917, 11.558 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 49% | 33 | 3.864, 3.734, 3.825, 3.732, 3.573 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 38% | 39 | 13.0934000015259, 13.229100227356, 13.3114995956421,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 50% | 10 | 81.0, 76.0, 76.0, 93.0, 95.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.16032028, 3.47098041, 3.6148138, 3.72335005, 3.98307681 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kazakhstan, Kazakhstan, Kazakhstan, Kazakhstan, Kazakhstan |
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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Kazakhstan |
admin_code |
Admin code | string | SEL | 0% | 1 | 12445969B25401373275960 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 2706685.2867 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 20248754 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 7.48 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ, KAZ, KAZ, KAZ, KAZ |
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% | 16 | South Kazakhstan Region, Almaty Region, Almaty,... |
admin_code |
Admin code | string | SEL | 0% | 16 | 16772668B94173460365652, 16772668B60014547909303,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 16 | 117376.6046, 223037.509, 704.3552, 427701.2254, 282073.3201 |
pop_2024 |
Population count | integer | SEL | 0% | 16 | 3345649, 2250098, 2144607, 1423910, 1416164 |
pop_density_2024 |
Population density | float | SEL | 0% | 16 | 28.5, 10.09, 3044.78, 3.33, 5.02 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ, KAZ, KAZ, KAZ, KAZ |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 32 | Almaty, Astana, Shymkent, Aktobe, Taraz |
admin_code |
Admin code | integer | SEL | 0% | 32 | 2847, 1634, 2306, 755, 2592 |
area_sqkm |
Area sqkm | float | SEL | 0% | 32 | 330.8648, 163.2316, 239.8462, 92.1137, 93.953 |
pop_2024 |
Population count | integer | SEL | 0% | 32 | 2042156, 1213758, 957425, 443412, 398373 |
pop_density_2024 |
Population density | float | SEL | 0% | 32 | 6172.18, 7435.8, 3991.83, 4813.75, 4240.13 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 32 | 2315538, 1128140, 1239663, 420695, 234775 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 32 | 0.882, 1.076, 0.772, 1.054, 1.697 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 32 | Almaty, Shymkent, Astana, Aktobe, Karaganda |
country_code |
Country code | string | SEL | 0% | 1 | KAZ, KAZ, KAZ, KAZ, KAZ |
population |
Population count | integer | SEL | 0% | 32 | 2315538, 1239663, 1128140, 420695, 303663 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 32 | 2847, 2306, 1634, 755, 1816 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Kazakhstan, Kazakhstan, Kazakhstan, Kazakhstan, Kazakhstan |
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% | 27 | bash1264, chec1245, chuv1255, darg1241, daur1238 |
name |
Name | string | CCL | 0% | 27 | Bashkir, Chechen, Chuvash, North-Central Dargwa, Dagur |
iso639_3 |
Iso639 3 | string | CCL | 0% | 27 | bak, che, chv, dar, dta |
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% | 7 | turk1311, nakh1245, turk1311, nakh1245, mong1349 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 21 | bash1267, chec1244, bolg1249, darg1242, mong1329 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 21 | ['KZ', 'RU', 'UA'], ['GE', 'KZ', 'RU'], ['EE', 'KZ',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 12 | 3, 3, 2, 15, 8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 27 | 53.59671, 43.5, 55.48701, 42.4257, 48.0 |
longitude |
longitude | float | 0% | 27 | 56.55937, 45.5, 47.16298, 47.4388, 124.0 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | KAZ |
region_name |
Region name | string | SEL | 0% | 1 | Kazakhstan |
F_TL |
Female population | integer | SEL | 0% | 1 | 10119106 |
M_TL |
Male population | integer | SEL | 0% | 1 | 9647701 |
T_TL |
Total population | integer | SEL | 0% | 1 | 19766807 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 998259 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 947989 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 887223 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 693082 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 550251 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 632765 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 759446 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 747061 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 638025 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 601086 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 551035 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 527819 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 523861 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 399895 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 297992 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 135987 |
F_80_84 |
Female population age 80-84 | integer | 0% | 1 | 137429 |
F_85Plus |
F_85Plus | integer | 0% | 1 | 89901 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 1060690 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1005593 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 935700 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 729048 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 573200 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 654153 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 775026 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 751154 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 620254 |
| +27 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% | 20 | KAZ001, KAZ002, KAZ003, KAZ004, KAZ005 |
region_name |
Region name | string | SEL | 0% | 20 | Abay Region, Akmola Region, Aktobe Region, Almaty, Almaty Region |
F_TL |
Female population | integer | SEL | 0% | 20 | 311414, 402862, 473074, 1157916, 753530 |
M_TL |
Male population | integer | SEL | 0% | 20 | 298791, 385161, 455087, 1003881, 752438 |
T_TL |
Total population | integer | SEL | 0% | 20 | 610205, 788023, 928161, 2161797, 1505968 |
| 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 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 20 | 26367, 28513, 49654, 103605, 76727 |
F_05_09 |
Female population age 5-9 | integer | 0% | 20 | 25789, 32823, 46402, 89752, 78446 |
F_10_14 |
Female population age 10-14 | integer | 0% | 20 | 25603, 32369, 41417, 79886, 73275 |
F_15_19 |
Female population age 15-19 | integer | 0% | 20 | 20310, 25642, 31095, 72229, 54521 |
F_20_24 |
Female population age 20-24 | integer | 0% | 20 | 11911, 20040, 24405, 79862, 37450 |
F_25_29 |
Female population age 25-29 | integer | 0% | 20 | 15998, 21796, 30192, 84820, 42755 |
F_30_34 |
Female population age 30-34 | integer | 0% | 20 | 20247, 28217, 36424, 102043, 56609 |
F_35_39 |
Female population age 35-39 | integer | 0% | 20 | 20810, 29861, 35192, 96895, 57695 |
F_40_44 |
Female population age 40-44 | integer | 0% | 20 | 20050, 26547, 29388, 77984, 49428 |
F_45_49 |
Female population age 45-49 | integer | 0% | 20 | 21212, 25748, 27509, 69896, 45031 |
F_50_54 |
Female population age 50-54 | integer | 0% | 20 | 20433, 24614, 26511, 61617, 40440 |
F_55_59 |
Female population age 55-59 | integer | 0% | 20 | 19979, 25152, 25885, 55580, 38310 |
F_60_64 |
Female population age 60-64 | integer | 0% | 20 | 19752, 25776, 24400, 56413, 36451 |
F_65_69 |
Female population age 65-69 | integer | 0% | 20 | 15554, 20196, 17826, 45802, 27024 |
F_70_74 |
Female population age 70-74 | integer | 0% | 20 | 12020, 15473, 12440, 36263, 18663 |
F_75_79 |
Female population age 75-79 | integer | 0% | 20 | 5477, 7119, 5303, 17708, 7967 |
F_80_84 |
Female population age 80-84 | integer | 0% | 20 | 5910, 7843, 5503, 15993, 7612 |
F_85Plus |
F_85Plus | integer | 0% | 20 | 3992, 5133, 3528, 11568, 5126 |
M_00_04 |
Male population age 0-4 | integer | 0% | 20 | 28484, 29498, 52671, 109135, 81936 |
M_05_09 |
Male population age 5-9 | integer | 0% | 20 | 27558, 34137, 49718, 95374, 83321 |
M_10_14 |
Male population age 10-14 | integer | 0% | 20 | 27316, 33769, 44160, 84461, 76854 |
M_15_19 |
Male population age 15-19 | integer | 0% | 20 | 21108, 27281, 33110, 76671, 57613 |
M_20_24 |
Male population age 20-24 | integer | 0% | 20 | 12996, 21651, 26147, 73230, 39687 |
M_25_29 |
Male population age 25-29 | integer | 0% | 20 | 17818, 24231, 31610, 72367, 46946 |
M_30_34 |
Male population age 30-34 | integer | 0% | 20 | 22133, 30419, 37497, 88856, 59972 |
M_35_39 |
Male population age 35-39 | integer | 0% | 20 | 22417, 31684, 35517, 85220, 60313 |
M_40_44 |
Male population age 40-44 | integer | 0% | 20 | 20258, 27384, 28955, 66418, 51488 |
| +27 more pending fields — download the CSV/Parquet to see them all. | |||||
| 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 | 13.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 127.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .kz |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 93.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 18.0 |
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 | 2.574 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 2.574 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 13 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 26.2 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 26.2 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 127 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | the state owns nearly all radio and TV transmission... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 96.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 93% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 3.59 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 3.59 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 18 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.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 | 35900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 288.406 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 5.2 |
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 | upper-middle-income Central Asian economy; robust growth... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $739.385 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 | 739.385 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $705.52 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 | 705.52 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $671.285 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 | 671.285 |
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 | 4.8% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3.2% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.2 |
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 | $35,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $34,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 34700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $33,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 33500.0 |
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 | $288.406 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 8.8% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 8.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 14.7% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 14.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 15% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 15.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 3.9% (2024 est.) |
| +122 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 27.624 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 27.624 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 106.201 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 106.201 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 2.243 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 2.243 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 3.694 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 3.694 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 9.439 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 9.439 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 87.7% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 87.7 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 1.9% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 1.9 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 2.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 2.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 8.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 8.2 |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text | string | 0% | 1 | 1 (2025) |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric |
nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric | float | 0% | 1 | 1.0 |
coal_production_text |
coal_production_text | string | 0% | 1 | 120.279 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 120.279 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 86.349 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 86.349 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 34.043 million metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 34.043 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 114,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 114000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 25.605 billion metric tons (2023 est.) |
| +21 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 | 79.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 1.3 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 58.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.19 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.66 |
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 | radioactive or toxic chemical sites from former defense... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Air Pollution, Antarctic Treaty, Biodiversity, 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 | continental, cold winters and hot summers, arid and semiarid |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 79.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.0 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 68.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 68.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 1.3% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 19.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 19.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 58.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.19% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 269.83 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 269.83 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 175.848 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 | 175.848 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 50.387 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 | 50.387 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 43.596 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 | 43.596 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 38.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 38.4 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 1,903.1 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 1903.1 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 781.2 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 781.2 |
| +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 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 | Kazakhstani(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Kazakhstani |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Kazakh 71%, Russian 14.9%, Uzbek 3.3%, Ukrainian 1.9%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 71.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 2724900.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 2699700.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 25200.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 13364.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 7010.0 |
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 | 79.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 1.3 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 17794.0 |
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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, northwest of China; a small portion west... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 48 00 N, 68 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 48.0 |
map_references_text |
map_references_text | string | 0% | 1 | Asia |
area_total_text |
area_total_text | string | 0% | 1 | 2,724,900 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 2,699,700 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 25,200 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than four times the size of Texas |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 13,364 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | China 1,765 km; Kyrgyzstan 1,212 km; Russia 7,644 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1765.0 |
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 | continental, cold winters and hot summers, arid and semiarid |
terrain_text |
terrain_text | string | 0% | 1 | vast flat steppe extending from the Volga in the west to... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Pik Khan-Tengri 7,010 mnote - the northern most 7,000... |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Qauyndy Oyysy -132 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 387 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 387.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | major deposits of petroleum, natural gas, coal, iron... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 79.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.0 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 68.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 68.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 1.3% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 19.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 19.3 |
| +15 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 | KAZ |
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 | Republic of Kazakhstan |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Kazakhstan |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Qazaqstan Respublikasy |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Qazaqstan |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Kazakh Soviet Socialist Republic |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name may derive from the Turkic word kazak, meaning... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Astana |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 51 10 N, 71 25 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 51.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+5 (10 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 5.0 |
capital_time_zone_note_text |
capital_time_zone_note_text | string | 0% | 1 | On 1 March 2024, Kazakhstan moved from using two time... |
capital_time_zone_note_numeric |
capital_time_zone_note_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name means "capital city" in Kazakh |
capital_note |
capital_note | string | 0% | 1 | note: founded in 1830 as Akmoly, the capital city became... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 17 provinces (oblystar, singular - oblys) and 4 cities*... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 17.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system influenced by Roman-Germanic law and by... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1937, 1978 (pre-independence), 1993; latest... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1937.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | introduced by a referendum initiated by the president of... |
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 Kazakhstan |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 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 |
| +91 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 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Ethnic Kazakhs derive from a mix of Turkic nomadic... |
background_numeric |
background_numeric | float | 0% | 1 | 15.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Kazakh (official, Qazaq) 80.1%, Russian 83.7%, English... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 80.1 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Әлемдік деректер кітабы, негізгі ақпараттың таптырмайтын... |
languages_note |
languages_note | string | 0% | 1 | note: percentages are based on population that... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 | 66,152 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 66152.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 0 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 0.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 7,865 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 7865.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 Republic of Kazakhstan: Land Forces... |
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 | 0.9% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.9 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.9% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.9 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | available information varies widely; estimated 50,000... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 50000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Kazakh military's inventory is comprised mostly of... |
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 18-27 are subject to conscription for 12-24 months;... |
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 principal responsibilities are... |
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/kz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 20432662.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 9902303.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 10530359.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 27.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 9.6 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 59.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 43.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 15.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 32.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.83 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 16.83 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.1 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 58.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.19 |
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 | 0.94 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 10.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 7.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 73.3 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.57 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.24 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 3.75 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 6.7 |
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 | 20,432,662 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 9,902,303 |
population_female_text |
population_female_text | string | 0% | 1 | 10,530,359 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 27.6% (male 2,883,200/female 2,712,772) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.8% (male 6,233,881/female 6,486,019) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 9.6% (2024 est.) (male 700,091/female 1,244,043) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 59.4 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 43.6 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 15.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 6.3 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 6.3 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 32.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 30 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 30.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 33.8 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 33.8 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.83% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 16.83 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.1 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.4 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most of the country displays a low population density,... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 58.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.19% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.987 million Almaty, 1.291 million NUR-SULTAN... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.987 |
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 |
| +76 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 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 69.3 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 17.2 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.1 |
composition_ethnicity_primary_label_synth |
Kazakh | string | CCL | 0% | - | Kazakh |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 69.3%, Christian 17.2% (Orthodox 17%, other... |
religions_numeric |
religions_numeric | float | 0% | 1 | 69.3 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_christian__orthodox_pct_synth |
Orthodox | numeric | 0% | - | 17.0 |
composition_religion_christian__other_pct_synth |
other | numeric | 0% | - | 0.2 |
composition_religion_buddhism_pct_synth |
Buddhism | numeric | 0% | - | 0.1 |
composition_religion_non_believers_pct_synth |
non-believers | numeric | 0% | - | 2.3 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 11.0 |
composition_ethnicity_kazakh_pct_synth |
Kazakh | numeric | 0% | - | 71.0 |
composition_ethnicity_russian_pct_synth |
Russian | numeric | 0% | - | 14.9 |
composition_ethnicity_uzbek_pct_synth |
Uzbek | numeric | 0% | - | 3.3 |
composition_ethnicity_ukrainian_pct_synth |
Ukrainian | numeric | 0% | - | 1.9 |
composition_ethnicity_uyghurs_pct_synth |
Uyghurs | numeric | 0% | - | 1.5 |
composition_ethnicity_german_pct_synth |
German | numeric | 0% | - | 1.1 |
composition_ethnicity_tatar_pct_synth |
Tatar | numeric | 0% | - | 1.1 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 4.9 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.3 |
composition_ethnicity_primary_share_pct_synth |
Kazakh | numeric | 0% | - | 71.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
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 | Aerospace Committee of the Kazakh Digital Development,... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2007.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Baikonur Cosmodrome/Space Center (Baikonur) (2025) |
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 | space program originated with the former Soviet Union;... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1991 - first Kazakh in space on the last Soviet Soyuz... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1991.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.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 | UP |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 132.0 |
country_code |
Country code | string | SEL | 0% | 1 | KAZ |
country_name |
Country name | string | SEL | 0% | 1 | Kazakhstan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 132 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 32 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 32.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 16,636 km (2021) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 16636.0 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 16,636 km (2021) 1.520-m gauge (4,237 km electrified) |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 16636.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 122 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 122.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 3, oil tanker 7, other 112 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | central-asia/kz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | KAZ, KAZ, KAZ, KAZ, KAZ |
gns_language_code |
gns_language_code | string | CCL | 0% | 9 | rus, kaz, eng, uzb, zho |
gns_language_name |
gns_language_name | string | CCL | 0% | 9 | Russian, Kazakh, English, Uzbek, Chinese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 7 | 120840, 25106, 155, 62, 32 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 7 | 82.6465, 17.1708, 0.106, 0.0424, 0.0219 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 5 | 57407, 12225, 0, 0, 14 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 4 | Cyrl, Cyrl, , , Hans |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 4 | Cyrillic, Cyrillic, , , Han (Simplified variant) |
gns_script_count |
gns_script_count | integer | CCL | 0% | 4 | 2, 1, 0, 0, 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | KAZ |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Kazakhstan |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 9 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 5 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9889 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 69714 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 162253 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 68368 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 162235 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 18 |
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 | 39205 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 13350 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 20073 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 8799 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 44179 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 20233 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 44419 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 19494 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 11832 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 5852 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 408 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 203 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 99 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 49 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 7 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 3 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 2031 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 385 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KAZ, KAZ, KAZ, KAZ, KAZ |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 6 | Kazakhs, Russian-speakers, Uzbeks, Uighur, Tatars |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | DOMINANT, POWERLESS, POWERLESS, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 6 | 0.68, 0.208, 0.032, 0.015, 0.011 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 6 | 70502000, 70503000, 70507000, 70505000, 70504000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 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 | KAZ |
society_id |
Society id | string | CCL | 0% | 1 | Eb1 |
society_name |
Society name | string | CCL | 0% | 1 | Kazakh |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | kaza1248 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:1; EA003:0; EA004:8; EA005:1 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:7; EA008:7; EA009:6; EA010:8 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:2; EA029:NA; EA030:2; EA031:2; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:4; EA034:4; EA035:8 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:6 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:8; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kazakhstan |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 48.0 |
longitude |
longitude | float | 0% | 1 | 70.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| 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 | KAZ |
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 | 98 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 4 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 148 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 3 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 2 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 100 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 4.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 151 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 2.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 134 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.38 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 122 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.33 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.15 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 120 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 4.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 4 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 131 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 4.47 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 4.26 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 111 |
| +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 | KAZ |
| 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) | 120,840 | 82.6% | Cyrillic +1 |
| Kazakh (kaz) | 25,106 | 17.2% | Cyrillic |
| English (eng) | 155 | 0.1% | — |
68,368 distinct features ·
9 languages ·
5 scripts ·
69,714 names in non-Roman script ·
18 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 |
| Global Data Lab | academic | api |
| World Bank Open Data | international_organization | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Values Survey | academic | metadata_catalog |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | 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.