| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO, GEO, GEO, GEO, GEO |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 11 | Total, Ajaria, Guria, Imereti Racha-Lochkhumi Kvemo... |
human_development_index |
Human development index | float | SEL | 0% | 74 | 0.73, 0.729, 0.727, 0.715, 0.708 |
health_index |
Health index | float | SEL | 0% | 72 | 0.749, 0.74, 0.828, 0.729, 0.797 |
education_index |
Education index | float | SEL | 0% | 61 | 0.724, 0.705, 0.696, 0.717, 0.658 |
income_index |
Income index | float | SEL | 0% | 77 | 0.719, 0.742, 0.667, 0.7, 0.677 |
life_expectancy |
Life expectancy | float | SEL | 0% | 95 | 68.68, 68.1, 73.84, 67.39, 71.79 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 10.86, 10.49, 10.23, 10.24, 10.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| 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 | GE, GE, GE, GE, GE |
population_count |
Population count | float | SEL | 2% | 65 | 3645600.0, 3703600.0, 3760300.0, 3816100.0, 3870300.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 61.347, 61.72, 62.078, 62.457, 62.818 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 42% | 38 | 1543.58202459728, 1843.90343235858, 1853.44090838675,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 85% | 9 | 99.6500015258789, 99.5899963378906, 99.3600006103516,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 26% | 49 | 71.2, 68.6, 66.1, 63.6, 61.3 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 68% | 20 | 34.3, 35.4, 36.9, 38.8, 34.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Georgia, Georgia, Georgia, Georgia, Georgia |
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 | GE, GE, GE, GE, GE |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 61.347, 61.72, 62.078, 62.457, 62.818 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 29% | 35 | 28.3, 27.7, 27.1, 26.6, 26.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 26% | 49 | 71.2, 68.6, 66.1, 63.6, 61.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 24 | 34.0, 34.0, 32.0, 33.0, 36.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 2.942, 2.943, 2.937, 2.949, 2.891 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 26.632, 26.297, 25.687, 25.059, 23.771 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 12.467, 12.18, 11.884, 11.575, 11.258 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 18% | 54 | 3.2, 3.3, 3.32, 3.4, 3.475 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 39% | 40 | 10.1708002090454, 9.9734001159668, 10.0150003433228,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 50% | 17 | 58.0, 54.0, 58.0, 79.0, 80.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 7.194592, 7.16950893, 7.81474257, 8.02952862, 8.08910847 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Georgia, Georgia, Georgia, Georgia, Georgia |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | GE |
region_name |
Region name | string | SEL | 0% | 1 | Georgia |
F_TL |
Female population | integer | SEL | 0% | 1 | 1940940 |
M_TL |
Male population | integer | SEL | 0% | 1 | 1772864 |
T_TL |
Total population | integer | SEL | 0% | 1 | 3713804 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2014 |
YEAR |
YEAR | integer | 0% | 1 | 2014 |
ADM0_KA |
ADM0_KA | string | 0% | 1 | საქართველო |
HOPUSE_POP |
HOPUSE_POP | integer | 0% | 1 | 3702130 |
HOPUSE_QTY |
HOPUSE_QTY | integer | 0% | 1 | 1109130 |
AVER_SIZE |
AVER_SIZE | integer | 0% | 1 | 3 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 122389 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 108779 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 96735 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 107145 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 130820 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 138717 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 132139 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 126606 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 124963 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 125371 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 144676 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 133750 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 118973 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 90813 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 75122 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 85869 |
F_80_84 |
Female population age 80-84 | integer | 0% | 1 | 46575 |
F_85Plus |
F_85Plus | integer | 0% | 1 | 31498 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 132700 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 121245 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 109481 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 118877 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 135305 |
| +31 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% | 11 | GE11, GE15, GE23, GE26, GE29 |
region_name |
Region name | string | SEL | 0% | 11 | c. Tbilisi, Autonomous Republic of Adjara, Guria,... |
F_TL |
Female population | integer | SEL | 0% | 11 | 605827, 171025, 58690, 275308, 162429 |
M_TL |
Male population | integer | SEL | 0% | 11 | 502890, 162928, 54660, 258598, 156154 |
T_TL |
Total population | integer | SEL | 0% | 11 | 1108717, 333953, 113350, 533906, 318583 |
| 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 | 2014, 2014, 2014, 2014, 2014 |
YEAR |
YEAR | integer | 0% | 1 | 2014, 2014, 2014, 2014, 2014 |
ADM0_KA |
ADM0_KA | string | 0% | 1 | საქართველო, საქართველო, საქართველო, საქართველო, საქართველო |
ADM1_KA |
ADM1_KA | string | 0% | 11 | ქ. თბილისი, აჭარის ავტონომიური რესპუბლიკა, გურია, იმერეთი, კახეთი |
HOPUSE_POP |
HOPUSE_POP | integer | 0% | 11 | 1105549, 333717, 113239, 531629, 318242 |
HOPUSE_QTY |
HOPUSE_QTY | integer | 0% | 11 | 339304, 83782, 34931, 169016, 98975 |
AVER_SIZE |
AVER_SIZE | integer | 0% | 3 | 3, 4, 3, 3, 3 |
F_00_04 |
Female population age 0-4 | integer | 0% | 11 | 38721, 11887, 3233, 16821, 9626 |
F_05_09 |
Female population age 5-9 | integer | 0% | 11 | 34853, 9868, 2903, 14245, 8652 |
F_10_14 |
Female population age 10-14 | integer | 0% | 11 | 28682, 9148, 2799, 13060, 8152 |
F_15_19 |
Female population age 15-19 | integer | 0% | 11 | 35213, 10578, 2719, 13961, 8243 |
F_20_24 |
Female population age 20-24 | integer | 0% | 11 | 49300, 12804, 2668, 15523, 9101 |
F_25_29 |
Female population age 25-29 | integer | 0% | 11 | 48096, 13891, 3276, 17120, 9966 |
F_30_34 |
Female population age 30-34 | integer | 0% | 11 | 46205, 12899, 3328, 16391, 9530 |
F_35_39 |
Female population age 35-39 | integer | 0% | 11 | 43075, 12239, 3408, 16347, 9615 |
F_40_44 |
Female population age 40-44 | integer | 0% | 11 | 41166, 12300, 3639, 16646, 10192 |
F_45_49 |
Female population age 45-49 | integer | 0% | 11 | 38257, 11797, 3913, 17432, 9899 |
F_50_54 |
Female population age 50-54 | integer | 0% | 11 | 42972, 12431, 4696, 20912, 12457 |
F_55_59 |
Female population age 55-59 | integer | 0% | 11 | 38279, 10299, 4605, 20094, 12420 |
F_60_64 |
Female population age 60-64 | integer | 0% | 11 | 33665, 8776, 4345, 19468, 11094 |
F_65_69 |
Female population age 65-69 | integer | 0% | 11 | 26990, 6856, 3234, 14228, 9177 |
F_70_74 |
Female population age 70-74 | integer | 0% | 11 | 19671, 5395, 3013, 13156, 7105 |
F_75_79 |
Female population age 75-79 | integer | 0% | 11 | 22106, 5366, 3568, 15345, 8887 |
F_80_84 |
Female population age 80-84 | integer | 0% | 11 | 10942, 2714, 1954, 8689, 4913 |
F_85Plus |
F_85Plus | integer | 0% | 11 | 7634, 1777, 1389, 5870, 3400 |
M_00_04 |
Male population age 0-4 | integer | 0% | 11 | 40736, 12864, 3375, 18174, 10987 |
M_05_09 |
Male population age 5-9 | integer | 0% | 11 | 37396, 11353, 3101, 15858, 10024 |
M_10_14 |
Male population age 10-14 | integer | 0% | 11 | 31560, 10563, 3068, 14761, 9263 |
M_15_19 |
Male population age 15-19 | integer | 0% | 11 | 36289, 11288, 3289, 15917, 9973 |
| +32 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% | 80 | GE1125, GE1129, GE1133, GE1135, GE1139 |
region_name |
Region name | string | SEL | 0% | 80 | Gldani, Didube, Vake, Isani, Krtsanisi |
F_TL |
Female population | integer | SEL | 0% | 80 | 94679, 39443, 62180, 68508, 21129 |
M_TL |
Male population | integer | SEL | 0% | 80 | 82535, 30575, 49723, 57102, 18157 |
T_TL |
Total population | integer | SEL | 0% | 80 | 177214, 70018, 111903, 125610, 39286 |
| 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 | 2014, 2014, 2014, 2014, 2014 |
YEAR |
YEAR | integer | 0% | 1 | 2014, 2014, 2014, 2014, 2014 |
ADM0_KA |
ADM0_KA | string | 0% | 1 | საქართველო, საქართველო, საქართველო, საქართველო, საქართველო |
ADM1_KA |
ADM1_KA | string | 0% | 11 | ქ. თბილისი, ქ. თბილისი, ქ. თბილისი, ქ. თბილისი, ქ. თბილისი |
ADM2_KA |
ADM2_KA | string | 0% | 80 | გლდანის, დიდუბის, ვაკის, ისნის, კრწანისის |
ADM2TYPE_KA |
ADM2TYPE_KA | string | 0% | 3 | raioni, raioni, raioni, raioni, raioni |
ADM2TYPE_EN |
ADM2TYPE_EN | string | 0% | 3 | district, district, district, district, district |
HOPUSE_POP |
HOPUSE_POP | integer | 0% | 80 | 175722, 70018, 111323, 125439, 38942 |
HOPUSE_QTY |
HOPUSE_QTY | integer | 0% | 80 | 51494, 22878, 36218, 38184, 11405 |
AVER_SIZE |
AVER_SIZE | integer | 0% | 4 | 3, 3, 3, 3, 3 |
F_00_04 |
Female population age 0-4 | integer | 0% | 78 | 6757, 2232, 3468, 4528, 1410 |
F_05_09 |
Female population age 5-9 | integer | 0% | 79 | 5865, 2103, 3372, 4122, 1318 |
F_10_14 |
Female population age 10-14 | integer | 0% | 76 | 4624, 1771, 2810, 3335, 1074 |
F_15_19 |
Female population age 15-19 | integer | 0% | 79 | 5534, 2372, 3529, 3965, 1188 |
F_20_24 |
Female population age 20-24 | integer | 0% | 78 | 7637, 3247, 5026, 5439, 1563 |
F_25_29 |
Female population age 25-29 | integer | 0% | 80 | 8043, 2932, 4271, 5596, 1687 |
F_30_34 |
Female population age 30-34 | integer | 0% | 79 | 7879, 2690, 4292, 5477, 1670 |
F_35_39 |
Female population age 35-39 | integer | 0% | 79 | 7283, 2662, 4357, 5147, 1519 |
F_40_44 |
Female population age 40-44 | integer | 0% | 76 | 6407, 2825, 4381, 4494, 1356 |
F_45_49 |
Female population age 45-49 | integer | 0% | 76 | 5881, 2640, 3984, 3981, 1353 |
F_50_54 |
Female population age 50-54 | integer | 0% | 80 | 6262, 2974, 4311, 4707, 1440 |
F_55_59 |
Female population age 55-59 | integer | 0% | 80 | 5841, 2317, 3793, 4467, 1380 |
F_60_64 |
Female population age 60-64 | integer | 0% | 79 | 5172, 1996, 3525, 4001, 1198 |
F_65_69 |
Female population age 65-69 | integer | 0% | 79 | 3861, 1892, 3288, 3015, 954 |
F_70_74 |
Female population age 70-74 | integer | 0% | 78 | 2698, 1519, 2559, 2036, 666 |
F_75_79 |
Female population age 75-79 | integer | 0% | 80 | 2835, 1815, 2704, 2327, 737 |
F_80_84 |
Female population age 80-84 | integer | 0% | 78 | 1289, 848, 1446, 1128, 369 |
F_85Plus |
F_85Plus | integer | 0% | 76 | 811, 608, 1064, 743, 247 |
M_00_04 |
Male population age 0-4 | integer | 0% | 80 | 6987, 2289, 3715, 4742, 1584 |
| +35 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 27 | abkh1244, avar1256, bats1242, bezh1248, boht1238 |
name |
Name | string | CCL | 0% | 27 | Abkhaz, Avar, Bats, Bezhta, Gardabani Bohtan Neo-Aramaic |
iso639_3 |
Iso639 3 | string | CCL | 4% | 26 | abk, ava, bbl, kap, bhn |
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 | abkh1242, nakh1245, nakh1245, nakh1245, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 23 | abkh1243, avar1255, nakh1246, east2368, boht1239 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 17 | ['GE', 'RU', 'TR'], ['AZ', 'GE', 'RU', 'TR'], ['GE'],... |
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, 14, 0, 3, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 27 | 43.056218, 41.7047, 42.1806, 42.1206, 41.459 |
longitude |
longitude | float | 0% | 27 | 41.159115, 46.558, 45.344, 46.0332, 45.084 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Georgia |
admin_code |
Admin code | string | SEL | 0% | 1 | 33476915B85864787100854 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 69659.9515 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 4878037 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 70.03 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO, GEO, GEO, GEO, GEO |
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% | 12 | Tbilisi, Kvemo Kartli, Imereti, Adjara, Kakheti |
admin_code |
Admin code | string | SEL | 0% | 12 | 13066534B93111814336300, 13066534B60595656675538,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 12 | 248.1753, 6531.2102, 6466.354, 3015.0471, 11478.7148 |
pop_2024 |
Population count | integer | SEL | 0% | 12 | 1221060, 707793, 575448, 431316, 375660 |
pop_density_2024 |
Population density | float | SEL | 0% | 12 | 4920.15, 108.37, 88.99, 143.05, 32.73 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO, GEO, GEO |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 3 | Tbilisi, Batumi, Kutaisi |
admin_code |
Admin code | integer | SEL | 0% | 3 | 467, 136, 309 |
area_sqkm |
Area sqkm | float | SEL | 0% | 3 | 150.8829, 26.9793, 21.9864 |
pop_2024 |
Population count | integer | SEL | 0% | 3 | 1234375, 205194, 105200 |
pop_density_2024 |
Population density | float | SEL | 0% | 3 | 8181.01, 7605.61, 4784.78 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 3 | 988278, 168438, 132035 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 3 | 1.249, 1.218, 0.797 |
| 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 | 7.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 156.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ge |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 82.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 29.0 |
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
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 | 278,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 278000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 7 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 5.91 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 5.91 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 156 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-owned Georgian Public Broadcaster (GPB) includes... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 82% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.1 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.1 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 29 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.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 | 25000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 33.776 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 11.8 |
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
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, fast-growing South Caucasus... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $91.849 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 | 91.849 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $83.935 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 | 83.935 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $77.838 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 | 77.838 |
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 | 9.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 9.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 7.8% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 7.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 11% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 11.0 |
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 | $25,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $22,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 22600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $21,000 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 21000.0 |
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 | $33.776 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1.1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.5% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 11.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (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 |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 5.4% (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 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
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 | 4.526 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 4.526 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 12.569 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 12.569 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 4.913 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 4.913 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 4.234 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 4.234 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.148 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.148 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 23.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 23.9 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 0.6% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 0.6 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 75.5% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 75.5 |
coal_production_text |
coal_production_text | string | 0% | 1 | 148,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 148000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 384,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 384000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 80 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 80.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 223,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 223000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 900.999 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 900.999 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 300 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 300.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 34,000 bbl/day (2023 est.) |
| +15 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 | 34.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 44.6 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 60.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.35 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 800000.0 |
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air pollution, particularly in Rust'avi; heavy water... |
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 | warm and pleasant; Mediterranean-like on Black Sea coast |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 34.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 4.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 27.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 27.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 44.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 21.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 21.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 60.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.35% annual rate of change (2020-25 est.) |
urbanization_note |
urbanization_note | string | 0% | 1 | note: data include Abkhazia and South Ossetia |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 10.7 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 10.7 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 812,000 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 | 812000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 4.469 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 | 4.469 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 5.419 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 | 5.419 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 18.6 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 18.6 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 800,000 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 | 19.6% (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 | 19.6 |
| +10 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 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
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 | Georgian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Georgian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Georgian 86.8%, Azeri 6.3%, Armenian 4.5%, other 2.3%... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 86.8 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 69700.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 69700.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1814.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 310.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 5193.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 34.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 44.6 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 4330.0 |
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southwestern Asia, bordering the Black Sea, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 42 00 N, 43 30 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 42.0 |
map_references_text |
map_references_text | string | 0% | 1 | Asia |
area_total_text |
area_total_text | string | 0% | 1 | 69,700 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 69,700 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 0 sq km |
area_note |
area_note | string | 0% | 1 | note: approximately 12,560 sq km, or about 18% of... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than South Carolina; slightly larger... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,814 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Armenia 219 km; Azerbaijan 428 km; Russia 894 km; Turkey 273 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 219.0 |
coastline_text |
coastline_text | string | 0% | 1 | 310 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | warm and pleasant; Mediterranean-like on Black Sea coast |
terrain_text |
terrain_text | string | 0% | 1 | largely mountainous with Great Caucasus Mountains in the... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mt'a Shkhara 5,193 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Black Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,432 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1432.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | timber, hydropower, manganese deposits, iron ore,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 34.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 4.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 27.9% (2023 est.) |
| +11 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 | GEO |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Georgia |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republic of Georgia |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Sak'art'velo |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Georgian Soviet Socialist Republic |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the Western name probably derives from the name of the... |
government_type_text |
government_type_text | string | 0% | 1 | semi-presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Tbilisi |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 41 41 N, 44 50 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 41.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+4 (9 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 4.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name comes from the Georgian word tbili, meaning... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 9 regions (mkharebi, singular - mkhare), 1 city... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 9.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1921, 1978 (based on 1977 Soviet Union... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1921.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed as a draft law supported by more than one half... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 200000.0 |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction |
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 Georgia |
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 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
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 Mikheil KAVELASHVILI (since 29 December 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 29.0 |
| +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 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The region of present-day Georgia once contained the... |
background_numeric |
background_numeric | float | 0% | 1 | 330.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Georgian (official) 87.6%, Azeri 6.2%, Armenian 3.9%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 87.6 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | მსოფლიო ფაქტების წიგნი, ძირითადი ინფორმაციის აუცილებელი... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
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 | 31,791 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 31791.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 347,754 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 347754.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 488 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 488.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
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 | Georgian Defense Forces (GDF; aka Defense Forces of... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2009.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.7% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.7 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.7% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.7 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.6% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.6 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | the Georgia Defense Forces are authorized up to 37,000... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 37000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the majority of the military's inventory consists 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 | 18-35 years of age for voluntary military service for... |
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 Defense Forces of Georgia (DFG) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2008.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 4900961.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 2343068.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 2557893.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 20.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 16.7 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 59.5 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 32.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 26.6 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 38.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.45 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 11.74 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 12.89 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -3.33 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 60.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.35 |
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 | 0.92 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 20.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 20.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 72.8 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.94 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.94 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 5.64 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 4.9 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 99.7 |
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
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 | 4,900,961 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 2,343,068 |
population_female_text |
population_female_text | string | 0% | 1 | 2,557,893 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 20.6% (male 520,091/female 489,882) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.7% (male 1,500,036/female 1,572,637) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 16.7% (2024 est.) (male 322,941/female 495,374) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 59.5 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 32.9 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 26.6 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 3.8 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 3.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 38.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 35.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 35.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 40.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 40.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.45% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 11.74 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 12.89 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -3.33 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | settlement concentrated in the central valley,... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 60.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.35% annual rate of change (2020-25 est.) |
urbanization_note |
urbanization_note | string | 0% | 1 | note: data include Abkhazia and South Ossetia |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.082 million TBILISI (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.082 |
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 | 0.95 male(s)/female |
| +94 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 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 10.7 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.2 |
composition_ethnicity_primary_label_synth |
Georgian | string | CCL | 0% | - | Georgian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Eastern Orthodox Christian (official) 83.4%, Muslim... |
religions_numeric |
religions_numeric | float | 0% | 1 | 83.4 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_eastern_orthodox_christian_official_pct_synth |
Eastern Orthodox Christian (official) | numeric | 0% | - | 83.4 |
composition_religion_armenian_apostolic_christian_pct_synth |
Armenian Apostolic Christian | numeric | 0% | - | 2.9 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 0.5 |
composition_religion_unspecified_no_answer_pct_synth |
unspecified/no answer | numeric | 0% | - | 1.2 |
composition_ethnicity_georgian_pct_synth |
Georgian | numeric | 0% | - | 86.8 |
composition_ethnicity_azeri_pct_synth |
Azeri | numeric | 0% | - | 6.3 |
composition_ethnicity_armenian_pct_synth |
Armenian | numeric | 0% | - | 4.5 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 2.3 |
composition_ethnicity_primary_share_pct_synth |
Georgian | numeric | 0% | - | 86.8 |
| 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 | 4L |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 21.0 |
country_code |
Country code | string | SEL | 0% | 1 | GEO |
country_name |
Country name | string | SEL | 0% | 1 | Georgia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 4.0 |
airports_text |
airports_text | string | 0% | 1 | 21 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 4 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 4.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 1,363 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 1363.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 37 km (2014) 0.912-m gauge (37 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 37.0 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 1,326 km (2014) 1.520-m gauge (1,251 km electrified) |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 1326.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 26 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 26.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 3, other 23 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 3.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 3 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 3.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 2 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 2.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 2 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 2.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Batumi, Sokhumi, Supsa Marine Terminal |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/gg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GEO, GEO, GEO, GEO, GEO |
gns_language_code |
gns_language_code | string | CCL | 0% | 8 | kat, rus, eng, aze, hye |
gns_language_name |
gns_language_name | string | CCL | 0% | 8 | Georgian, Russian, English, Azerbaijani, Armenian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 8 | 11531, 4986, 102, 61, 56 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 8 | 68.6328, 29.6768, 0.6071, 0.3631, 0.3333 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 5 | 5341, 594, 0, 0, 19 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 5 | Geor, Cyrl, Latn, Latn, Armn |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 5 | Georgian (Mkhedruli), Cyrillic, Latin, Latin, Armenian |
gns_script_count |
gns_script_count | integer | CCL | 0% | 4 | 3, 2, 1, 1, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GEO |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Georgia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 8 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 4 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9549 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 5980 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 22178 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 9088 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 22168 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 10 |
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 | 14973 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 5419 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 800 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 423 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2468 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1348 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 2901 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1349 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 593 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 443 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 426 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 99 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 7 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 2 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 10 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO, GEO, GEO, GEO, GEO |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 5 | Georgians, Azeri, Armenians, Abkhazians, Ossetians (South) |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | DOMINANT, POWERLESS, POWERLESS, SELF-EXCLUSION, SELF-EXCLUSION |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.817, 0.058, 0.052, 0.03, 0.016 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 5 | 37201000, 37205000, 37202000, 37207000, 37206000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 3 | , false, false, true, true |
| 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 | GEO, GEO, GEO |
society_id |
Society id | string | CCL | 0% | 3 | Ci12, Ci8, Ci9 |
society_name |
Society name | string | CCL | 0% | 3 | Abkhaz, Georgians, Svan |
language_glottocode |
Language glottocode | string | CCL | 0% | 3 | abkh1244, imer1248, svan1243 |
language_name |
Language name | string | CCL | 0% | 1 | , , |
kinship_system |
Kinship system | string | CCL | 0% | 3 | EA001:1; EA002:0; EA003:0; EA004:6; EA005:3, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 3 | EA006:4; EA007:8; EA008:8; EA009:2; EA010:8, EA006:7;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:5; EA029:6; EA030:5; EA031:4; EA032:2, EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:2; EA034:4; EA035:2, EA033:3; EA034:4; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:4; EA112:NA, EA034:4; EA112:8, EA034:4; EA112:8 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Georgia, Georgia, Georgia |
dataset |
dataset | string | 0% | 1 | EA, EA, EA |
region |
region | string | 0% | 1 | , , |
latitude |
latitude | float | 0% | 2 | 43.0, 42.0, 43.0 |
longitude |
longitude | float | 0% | 3 | 41.0, 45.0, 43.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 3 | Tbilisi, Batumi, Kutaisi |
country_code |
Country code | string | SEL | 0% | 1 | GEO, GEO, GEO |
population |
Population count | integer | SEL | 0% | 3 | 988278, 168438, 132035 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 3 | 467, 136, 309 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Georgia, Georgia, Georgia |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GEO |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| Georgian (kat) | 11,531 | 68.6% | Georgian (Mkhedruli) |
| Russian (rus) | 4,986 | 29.7% | Cyrillic |
| English (eng) | 102 | 0.6% | Latin |
| Azerbaijani (aze) | 61 | 0.4% | Latin |
| Armenian (hye) | 56 | 0.3% | Armenian |
| Turkish (tur) | 36 | 0.2% | — |
| German (deu) | 27 | 0.2% | — |
9,088 distinct features ·
8 languages ·
4 scripts ·
5,980 names in non-Roman script ·
10 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 |
| World Bank Open Data | international_organization | api |
| 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.