| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | BW |
region_name |
Region name | string | SEL | 0% | 1 | Botswana |
F_TL |
Female population | integer | SEL | 0% | 1 | 1258673 |
M_TL |
Male population | integer | SEL | 0% | 1 | 1159391 |
T_TL |
Total population | integer | SEL | 0% | 1 | 2418064 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 116692 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 117266 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 115555 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 111531 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 107699 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 104939 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 100621 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 95439 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 90611 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 71419 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 55667 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 46408 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 38934 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 30187 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 22346 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 16299 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 17060 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 119552 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 119827 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 116810 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 109139 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 102216 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 101464 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 96201 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 77893 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 73027 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 62501 |
| +24 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% | 17 | BW12, BW15, BW02, BW01, BW16 |
region_name |
Region name | string | SEL | 0% | 17 | Central, Chobe, Francistown, Gaborone, Ghanzi |
F_TL |
Female population | integer | SEL | 0% | 17 | 347357, 15754, 57574, 140784, 28153 |
M_TL |
Male population | integer | SEL | 0% | 17 | 312587, 16116, 53032, 131813, 29116 |
T_TL |
Total population | integer | SEL | 0% | 17 | 659944, 31870, 110606, 272597, 57269 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 17 | 35275, 1500, 4928, 8897, 2973 |
F_05_09 |
Female population age 5-9 | integer | 0% | 17 | 35883, 1434, 4761, 8875, 2985 |
F_10_14 |
Female population age 10-14 | integer | 0% | 17 | 36396, 1326, 4671, 8887, 2888 |
F_15_19 |
Female population age 15-19 | integer | 0% | 17 | 33786, 983, 4858, 11783, 2932 |
F_20_24 |
Female population age 20-24 | integer | 0% | 17 | 22998, 1484, 6292, 17936, 2295 |
F_25_29 |
Female population age 25-29 | integer | 0% | 17 | 22710, 1676, 6638, 16140, 2250 |
F_30_34 |
Female population age 30-34 | integer | 0% | 17 | 22008, 1619, 5749, 15919, 2115 |
F_35_39 |
Female population age 35-39 | integer | 0% | 17 | 21815, 1392, 5268, 14791, 2108 |
F_40_44 |
Female population age 40-44 | integer | 0% | 17 | 21875, 1203, 4656, 13004, 1944 |
F_45_49 |
Female population age 45-49 | integer | 0% | 17 | 19186, 936, 3113, 8770, 1509 |
F_50_54 |
Female population age 50-54 | integer | 0% | 17 | 16518, 640, 2203, 6039, 1032 |
F_55_59 |
Female population age 55-59 | integer | 0% | 17 | 15026, 451, 1611, 4055, 859 |
F_60_64 |
Female population age 60-64 | integer | 0% | 17 | 13478, 412, 1114, 2560, 581 |
F_65_69 |
Female population age 65-69 | integer | 0% | 17 | 10012, 275, 686, 1461, 520 |
F_70_74 |
Female population age 70-74 | integer | 0% | 17 | 7982, 183, 461, 766, 374 |
F_75_79 |
Female population age 75-79 | integer | 0% | 17 | 5942, 119, 292, 516, 344 |
F_80Plus |
F_80Plus | integer | 0% | 16 | 6467, 121, 273, 385, 444 |
M_00_04 |
Male population age 0-4 | integer | 0% | 17 | 36193, 1550, 4957, 8990, 3152 |
M_05_09 |
Male population age 5-9 | integer | 0% | 17 | 37196, 1451, 4706, 8886, 3058 |
M_10_14 |
Male population age 10-14 | integer | 0% | 17 | 36749, 1341, 4584, 8639, 2987 |
M_15_19 |
Male population age 15-19 | integer | 0% | 17 | 34374, 1020, 4472, 10353, 2828 |
M_20_24 |
Male population age 20-24 | integer | 0% | 17 | 22854, 1881, 5464, 16875, 2348 |
M_25_29 |
Male population age 25-29 | integer | 0% | 17 | 22046, 1798, 6098, 15732, 2550 |
M_30_34 |
Male population age 30-34 | integer | 0% | 17 | 20743, 1645, 5800, 14741, 2410 |
M_35_39 |
Male population age 35-39 | integer | 0% | 17 | 17199, 1328, 4245, 11968, 2019 |
M_40_44 |
Male population age 40-44 | integer | 0% | 17 | 16359, 1232, 3812, 11490, 1765 |
M_45_49 |
Male population age 45-49 | integer | 0% | 17 | 15163, 933, 3096, 8904, 1807 |
| +24 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% | 100 | BW1203, BW1204, BW1202, BW1201, BW1205 |
region_name |
Region name | string | SEL | 0% | 97 | Bobonong, Boteti, Mahalapye, Serowe Palapye, Tutume |
F_TL |
Female population | integer | SEL | 0% | 100 | 39298, 34911, 63672, 110597, 98879 |
M_TL |
Male population | integer | SEL | 0% | 99 | 34233, 32615, 57173, 102577, 85989 |
T_TL |
Total population | integer | SEL | 0% | 100 | 73531, 67526, 120845, 213174, 184868 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 2 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 94 | 4078, 3664, 6597, 10374, 10562 |
F_05_09 |
Female population age 5-9 | integer | 0% | 95 | 4020, 3808, 6781, 10643, 10631 |
F_10_14 |
Female population age 10-14 | integer | 0% | 90 | 4145, 3830, 6762, 10637, 11022 |
F_15_19 |
Female population age 15-19 | integer | 0% | 84 | 3609, 3504, 5045, 12494, 9134 |
F_20_24 |
Female population age 20-24 | integer | 0% | 90 | 2453, 2608, 3824, 7380, 6733 |
F_25_29 |
Female population age 25-29 | integer | 0% | 82 | 2320, 2730, 4038, 7345, 6277 |
F_30_34 |
Female population age 30-34 | integer | 0% | 83 | 2410, 2446, 3974, 7240, 5938 |
F_35_39 |
Female population age 35-39 | integer | 0% | 82 | 2459, 2273, 3755, 7245, 6083 |
F_40_44 |
Female population age 40-44 | integer | 0% | 79 | 2390, 2165, 4136, 7152, 6032 |
F_45_49 |
Female population age 45-49 | integer | 0% | 83 | 2261, 1964, 3788, 6049, 5124 |
F_50_54 |
Female population age 50-54 | integer | 0% | 83 | 1980, 1460, 3257, 5319, 4502 |
F_55_59 |
Female population age 55-59 | integer | 0% | 81 | 1783, 1053, 2990, 4938, 4262 |
F_60_64 |
Female population age 60-64 | integer | 0% | 75 | 1588, 973, 2638, 4481, 3798 |
F_65_69 |
Female population age 65-69 | integer | 0% | 73 | 1308, 727, 1990, 3152, 2835 |
F_70_74 |
Female population age 70-74 | integer | 0% | 69 | 998, 695, 1661, 2431, 2197 |
F_75_79 |
Female population age 75-79 | integer | 0% | 62 | 712, 444, 1197, 1799, 1790 |
F_80Plus |
F_80Plus | integer | 0% | 68 | 784, 567, 1239, 1918, 1959 |
M_00_04 |
Male population age 0-4 | integer | 0% | 94 | 4025, 3918, 6760, 10700, 10790 |
M_05_09 |
Male population age 5-9 | integer | 0% | 95 | 4101, 3904, 6885, 10965, 11341 |
M_10_14 |
Male population age 10-14 | integer | 0% | 94 | 4343, 3830, 6899, 10692, 10985 |
M_15_19 |
Male population age 15-19 | integer | 0% | 87 | 3793, 3395, 5477, 12592, 9117 |
M_20_24 |
Male population age 20-24 | integer | 0% | 85 | 2372, 2604, 3862, 7758, 6258 |
M_25_29 |
Male population age 25-29 | integer | 0% | 85 | 2314, 2633, 3675, 7645, 5779 |
M_30_34 |
Male population age 30-34 | integer | 0% | 82 | 2120, 2363, 3752, 7356, 5152 |
M_35_39 |
Male population age 35-39 | integer | 0% | 83 | 1861, 1811, 3020, 6135, 4372 |
M_40_44 |
Male population age 40-44 | integer | 0% | 78 | 1632, 1590, 3090, 5937, 4110 |
M_45_49 |
Male population age 45-49 | integer | 0% | 81 | 1581, 1551, 2887, 5167, 3977 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
ⓘ 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 | BWA, BWA, BWA, BWA, BWA |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 11 | Total, Central, Chobe, Ghanzi, Kgalagadi |
human_development_index |
Human development index | float | SEL | 0% | 69 | 0.632, 0.601, 0.598, 0.636, 0.613 |
health_index |
Health index | float | SEL | 0% | 81 | 0.617, 0.595, 0.624, 0.623, 0.535 |
education_index |
Education index | float | SEL | 0% | 87 | 0.588, 0.546, 0.486, 0.561, 0.597 |
income_index |
Income index | float | SEL | 0% | 68 | 0.696, 0.669, 0.706, 0.734, 0.721 |
life_expectancy |
Life expectancy | float | SEL | 0% | 95 | 60.1, 58.67, 60.59, 60.52, 54.77 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 8.827, 7.55, 12.98, 9.964, 9.557 |
| 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 | BW, BW, BW, BW, BW |
population_count |
Population count | float | SEL | 2% | 65 | 516165.0, 527942.0, 540186.0, 552966.0, 566266.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 51.22, 51.781, 52.313, 52.848, 53.358 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 58.9180081084204, 62.3224006926623, 65.9864503023827,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 97% | 2 | 68.5800018310547, 81.1900024414062 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 167.7, 162.6, 157.9, 153.4, 148.9 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 92% | 5 | 59.0, 32.9, 30.6, 19.3, 16.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Botswana, Botswana, Botswana, Botswana, Botswana |
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 | BW, BW, BW, BW, BW |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 51.22, 51.781, 52.313, 52.848, 53.358 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 11% | 57 | 40.3, 39.4, 38.2, 37.1, 36.1 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 167.7, 162.6, 157.9, 153.4, 148.9 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 313.0, 304.0, 302.0, 319.0, 300.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.595, 6.564, 6.536, 6.578, 6.613 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 47.14, 46.593, 46.032, 45.934, 45.775 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 16.412, 15.937, 15.473, 15.038, 14.633 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 50% | 29 | 0.042, 0.036, 0.064, 0.133, 0.123 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 61% | 20 | 2.12291669845581, 2.36310005187988, 1.5751999617, 2.13, 2.16 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 14 | 71.0, 75.0, 82.0, 82.0, 83.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 6.10838556, 6.3660779, 6.66529799, 6.40933847, 6.09125996 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Botswana, Botswana, Botswana, Botswana, Botswana |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 37 | afri1274, anii1246, bemb1257, birw1238, diri1252 |
name |
Name | string | CCL | 0% | 37 | Afrikaans, //Ani, Bemba (Zambia), Birwa, Diriku-Shambyu |
iso639_3 |
Iso639 3 | string | CCL | 5% | 35 | afr, hnh, bem, brl, diu |
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% | 5 | indo1319, khoe1240, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 29 | afri1273, kxoe1242, bemb1256, nort3233, kwan1288 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 19 | ['BW', 'MZ', 'NA', 'ZA', 'ZM', 'ZW'], ['BW'], ['BW',... |
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% | 14 | 3, 0, 12, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 37 | -31.63272, -19.0966, -10.6122, -22.17, -18.1681 |
longitude |
longitude | float | 0% | 37 | 20.46356, 22.9088, 29.2993, 28.33, 20.6678 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Botswana |
admin_code |
Admin code | string | SEL | 0% | 1 | 68990947B38995363734097 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 578131.4555 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 2450925 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 4.24 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA, BWA, BWA, BWA, BWA |
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% | 10 | Central District, Kweneng District, South-East District,... |
admin_code |
Admin code | string | SEL | 0% | 10 | 57670837B77729612727439, 57670837B49806718353307,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 146656.2183, 37012.5913, 1748.5696, 27367.7492, 111457.1584 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 734418, 415369, 377844, 250751, 204943 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 5.01, 11.22, 216.09, 9.16, 1.84 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA, BWA, BWA, BWA, BWA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 7 | Gaborone, Molepolole, Francistown, Kanye, Mahalapye |
admin_code |
Admin code | integer | SEL | 0% | 7 | 591, 289, 859, 114, 730 |
area_sqkm |
Area sqkm | float | SEL | 0% | 7 | 121.4653, 50.7746, 32.8359, 26.8834, 33.8426 |
pop_2024 |
Population count | integer | SEL | 0% | 7 | 239610, 70671, 39089, 32457, 28383 |
pop_density_2024 |
Population density | float | SEL | 0% | 7 | 1972.66, 1391.86, 1190.43, 1207.32, 838.68 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 7 | 298993, 121562, 116209, 52206, 61469 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 7 | 0.801, 0.581, 0.336, 0.622, 0.462 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 3.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 164.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .bw |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 81.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 3.0 |
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | 83,200 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 83200.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 4.13 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 4.13 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 164 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 2 TV stations, 1 state-owned and 1 privately owned;... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 81% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 85,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 85000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.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 | 18100.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 19.401 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 16.1 |
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | good economic governance and financial management;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $45.553 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 | 45.553 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $46.957 billion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 46.957 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $45.498 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 | 45.498 |
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 | -3% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | -3.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.5% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.5 |
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 | $18,100 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $18,900 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 18900.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $18,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 18600.0 |
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 | $19.401 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 2.8% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 2.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 11.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 11.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +119 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 75.9 |
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | 75.9% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 95.5% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 95.5 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 25% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 25.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 758,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 758000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 3.879 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 3.879 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 2 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 2.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 1.923 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 1.923 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 625.694 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 625.694 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 99.8% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 99.8 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.2 |
coal_production_text |
coal_production_text | string | 0% | 1 | 2.242 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 2.242 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1.351 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1.351 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 891,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 891000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 300 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 300.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 1.66 billion metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 1.66 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 22,000 bbl/day (2023 est.) |
| +5 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 | 45.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 27.8 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 72.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.47 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 210900.0 |
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | overgrazing; desertification; limited freshwater... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
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 | semiarid; warm winters and hot summers |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 45.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.5 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 45.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 45.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 27.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 26.6% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 26.6 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 72.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.47% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 5.897 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 5.897 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 2.818 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 2.818 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 3.079 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 | 3.079 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 12.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 12.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 26 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 26.0 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 144 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 144.0 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 841.4 kt (2019-2021 est.) |
methane_emissions_waste_numeric |
methane_emissions_waste_numeric | float | 0% | 1 | 841.4 |
| +15 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | Motswana (singular), Batswana (plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Motswana (singular), Batswana (plural) |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Tswana (or Setswana) 79%, Kalanga 11%, Basarwa 3%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 79.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 581730.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 566730.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 15000.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 4347.15 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1495.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 513.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 45.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 27.8 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 25.0 |
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Africa, north of South Africa |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 22 00 S, 24 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 22.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 581,730 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 566,730 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 15,000 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Texas; almost four times the size... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 4,347.15 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Namibia 1,544 km; South Africa 1,969 km; Zambia 0.15 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1544.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | semiarid; warm winters and hot summers |
terrain_text |
terrain_text | string | 0% | 1 | predominantly flat to gently rolling tableland; Kalahari... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Manyelanong Hill 1,495 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | junction of the Limpopo and Shashe Rivers 513 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,013 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1013.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | diamonds, copper, nickel, salt, soda ash, potash, coal,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 45.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.5 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 45.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 45.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 27.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 26.6% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 26.6 |
| +16 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 | BWA |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of Botswana |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Botswana |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republic of Botswana |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Botswana |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Bechuanaland |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name Botswana means "Land of the Tswana," referring... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Gaborone |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 24 38 S, 25 54 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 24.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+2 (7 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 2.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named after GABORONE (ca. 1825-1931), a chief of the... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1825.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 10 districts and 6 town councils*; Central, Chobe,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 10.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed legal system of civil law influenced by the... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1960 (pre-independence); latest adopted March... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1960.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly; passage requires... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
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 Botswana |
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 Duma BOKO (since 1 November 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 1.0 |
| +74 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 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | In the early 1800s, multiple political entities in what... |
background_numeric |
background_numeric | float | 0% | 1 | 1800.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Setswana 77.3%, Sekalanga 7.4%, Shekgalagadi 3.4%,... |
languages_numeric |
languages_numeric | float | 0% | 1 | 77.3 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | 823 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 823.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 99 (2023 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 99.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | Botswana Defense Force (BDF): Ground Forces Command, Air... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2.6% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.6 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.8% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.8 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 3.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 10,000 active Botswana Defense Force (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 10000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the BDF has a mix of mostly older weapons and equipment,... |
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 | 18-24 years of age (men and women) for general recruits... |
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 key responsibilities of the Botswana Defense Force... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1960.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 2521534.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 1234898.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 1286636.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 28.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 6.1 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 60.9 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 52.1 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 8.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 25.8 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.32 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 21.16 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.8 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.14 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 72.9 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.47 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
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 | 155.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 27.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 66.4 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.73 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.34 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.38 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.2 |
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | 2,521,534 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 1,234,898 |
population_female_text |
population_female_text | string | 0% | 1 | 1,286,636 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 28.7% (male 355,583/female 348,863) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65.2% (male 759,210/female 837,752) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 6.1% (2024 est.) (male 59,513/female 89,747) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 60.9 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 52.1 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 8.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 11.4 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 11.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 25.8 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 26 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 26.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 28.3 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 28.3 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.32% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 21.16 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.8 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.14 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the population is primarily concentrated in the east,... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 72.9% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.47% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 269,000 GABORONE (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 269000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.91 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.91 |
| +78 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 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 79.1 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.4 |
composition_ethnicity_primary_label_synth |
Tswana (or Setswana) | string | CCL | 0% | - | Tswana (or Setswana) |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 79.1%, Badimo 4.1%, other 1.4% (includes... |
religions_numeric |
religions_numeric | float | 0% | 1 | 79.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_badimo_pct_synth |
Badimo | numeric | 0% | - | 4.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 15.2 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.3 |
composition_ethnicity_tswana_or_setswana_pct_synth |
Tswana (or Setswana) | numeric | 0% | - | 79.0 |
composition_ethnicity_kalanga_pct_synth |
Kalanga | numeric | 0% | - | 11.0 |
composition_ethnicity_basarwa_pct_synth |
Basarwa | numeric | 0% | - | 3.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | - |
composition_ethnicity_including_kgalagadi_and_people_of_european_ancestry_pct_synth |
including Kgalagadi and people of European ancestry | numeric | 0% | - | 7.0 |
composition_ethnicity_primary_share_pct_synth |
Tswana (or Setswana) | numeric | 0% | - | 79.0 |
| 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 | A2 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 122.0 |
country_code |
Country code | string | SEL | 0% | 1 | BWA |
country_name |
Country name | string | SEL | 0% | 1 | Botswana |
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 | 2.0 |
airports_text |
airports_text | string | 0% | 1 | 122 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 888 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 888.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 888 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 888.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/bc.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA, BWA, BWA, BWA, BWA |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 10 | Tswana, Kalanga, Kgalagadi, San, Herero/Mbanderu |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | SENIOR PARTNER, JUNIOR PARTNER, POWERLESS, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 8 | 0.57, 0.08, 0.02, 0.02, 0.017 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 10 | 57101000, 57102000, 57103000, 57111000, 57104000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BW, BW, BW, BW, BW |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | BWA, BWA, BWA, BWA, BWA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 3 | 0.0, -2.11, 16.07, 0.0, 0.0 |
grocery |
grocery | float | 0% | 3 | 0.0, 0.0, 57.54, 0.0, 0.0 |
parks |
parks | float | 0% | 5 | -0.62, 0.0, 63.67, 0.0, 45.9 |
transit |
transit | float | 0% | 4 | -32.73, 0.0, 17.28, 0.0, 0.0 |
workplaces |
workplaces | float | 0% | 9 | -9.16, 23.68, 1.13, -15.03, 10.4 |
residential |
residential | float | 0% | 3 | 0.0, 2.81, 7.92, 0.0, 0.0 |
region |
region | string | 0% | 9 | Chobe, Francistown, Gaborone, Jwaneng District, Kgatleng |
observation_count |
observation_count | integer | 0% | 9 | 836, 883, 974, 447, 949 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 7 | Gaborone, Molepolole, Francistown, Lobatse, Mahalapye |
country_code |
Country code | string | SEL | 0% | 1 | BWA, BWA, BWA, BWA, BWA |
population |
Population count | integer | SEL | 0% | 7 | 298993, 121562, 116209, 62160, 61469 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 7 | 591, 289, 859, 445, 730 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Botswana, Botswana, Botswana, Botswana, Botswana |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
economic_conditions |
Economic conditions | integer | CCL | 0% | 1 | 1 |
living_conditions |
Living conditions | integer | CCL | 0% | 1 | 1 |
employment_situation |
Employment situation | integer | CCL | 0% | 1 | 1 |
food_insecurity |
Food insecurity | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
women_equal_rights |
Women equal rights | integer | CCL | 0% | 1 | 1 |
women_political_leaders |
Women political leaders | integer | CCL | 0% | 1 | 1 |
women_land_rights |
Women land rights | integer | CCL | 0% | 1 | 1 |
domestic_violence_justified |
Domestic violence justified | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
trust_president |
Trust president | integer | CCL | 0% | 1 | 1 |
trust_parliament |
Trust parliament | integer | CCL | 0% | 1 | 1 |
trust_courts |
Trust courts | integer | CCL | 0% | 1 | 1 |
trust_police |
Trust police | integer | CCL | 0% | 1 | 1 |
trust_army |
Trust army | integer | CCL | 0% | 1 | 1 |
corruption_perception |
Corruption perception | integer | CCL | 0% | 1 | 1 |
democracy_satisfaction |
Democracy satisfaction | integer | CCL | 0% | 1 | 1 |
democracy_preference |
Democracy preference | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
emigration_considered |
Emigration considered | integer | CCL | 0% | 1 | 1 |
immigration_attitude |
Immigration attitude | integer | CCL | 0% | 1 | 1 |
foreign_workers_attitude |
Foreign workers attitude | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA |
trust_relatives |
Trust relatives | integer | CCL | 0% | 1 | 1 |
trust_neighbors |
Trust neighbors | integer | CCL | 0% | 1 | 1 |
trust_other_ethnic |
Trust other ethnic | integer | CCL | 0% | 1 | 1 |
trust_other_religion |
Trust other religion | integer | CCL | 0% | 1 | 1 |
national_identity_vs_ethnic |
National identity vs ethnic | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BWA, BWA |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | eng, ara |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | English, Arabic |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 6, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 85.7143, 14.2857 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BWA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Botswana |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9323 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 4433 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 3775 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 4430 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
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 | 1890 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 1710 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 822 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 650 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 1019 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 842 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 326 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 253 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 55 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 20 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 321 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 300 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BWA, BWA |
society_id |
Society id | string | CCL | 0% | 2 | Aa1, Aa7 |
society_name |
Society name | string | CCL | 0% | 2 | !Kung, Naron |
language_glottocode |
Language glottocode | string | CCL | 0% | 2 | juho1239, naro1249 |
language_name |
Language name | string | CCL | 0% | 1 | , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:8; EA002:2; EA003:0; EA004:0; EA005:0, EA001:7;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 2 | EA006:2; EA007:8; EA008:7; EA009:2; EA010:9, EA006:3;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 2 | EA028:1; EA029:1; EA030:1; EA031:1; EA032:3, EA028:1;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:1; EA034:3; EA035:2, EA033:1; EA034:2; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:3; EA112:1, EA034:2; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:2; EA012:2; EA013:9, EA011:2; EA012:12; EA013:3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Botswana, Botswana |
dataset |
dataset | string | 0% | 1 | EA, EA |
region |
region | string | 0% | 1 | , |
latitude |
latitude | float | 0% | 1 | -20.0, -20.0 |
longitude |
longitude | float | 0% | 2 | 21.0, 24.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | BWA |
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 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 4.5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | float | 0% | 1 | 5.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 148 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 4 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 3 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 114 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 4.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 4 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 4 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 126 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 3.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 147 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.3 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 3.63 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 3.38 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 135 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.4 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.8 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 3.3 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 105 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
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 |
|---|---|---|---|
| English (eng) | 6 | 85.7% | — |
| Arabic (ara) | 1 | 14.3% | — |
3,775 distinct features ·
2 languages ·
0 scripts ·
3 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| commercial | bulk_download | |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Afrobarometer | academic | api |
| 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.