ⓘ 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 | 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_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 |
|---|---|---|---|---|---|---|
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 |
|---|---|---|---|---|---|---|
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 | 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 | GEO |
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 | 5 |
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 | 138 |
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 | 159 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 151 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 2 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 2 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 154 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 3.6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 2.88 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 154 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 3.6 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.05 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 169 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 3 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 3 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 158 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 3.6 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 2.96 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 79 |
| +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 | 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. 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 |
|---|---|---|---|
| Georgian (kat) | 11,531 | 68.6% | Georgian (Mkhedruli) +2 |
| Russian (rus) | 4,986 | 29.7% | Cyrillic +1 |
| 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.