| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA, TZA, TZA, TZA, TZA |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 26 | Total, Arusha, Manyara, Dar Es Salam, Dodoma, Iringa, Njombe |
human_development_index |
Human development index | float | SEL | 0% | 68 | 0.399, 0.435, 0.467, 0.366, 0.397 |
health_index |
Health index | float | SEL | 0% | 83 | 0.492, 0.593, 0.467, 0.422, 0.533 |
education_index |
Education index | float | SEL | 0% | 48 | 0.3, 0.324, 0.42, 0.275, 0.28 |
income_index |
Income index | float | SEL | 0% | 40 | 0.43, 0.428, 0.52, 0.422, 0.42 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 51.99, 58.51, 50.38, 47.44, 54.64 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 94 | 4.507, 5.169, 7.588, 4.233, 3.916 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 4 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 31 | TZ02, TZ06, TZ07, TZ01, TZ25 |
region_name |
Region name | string | SEL | 0% | 31 | ARUSHA, COAST, DAR ES SALAAM, DODOMA, GEITA |
T_TL |
Total population | integer | SEL | 0% | 31 | 2190453, 1357842, 7037577, 2562332, 2228513 |
M_TL |
Male population | integer | SEL | 0% | 31 | 1088337, 679059, 3546655, 1275499, 1131492 |
F_TL |
Female population | integer | SEL | 0% | 31 | 1102116, 678783, 3490922, 1286833, 1097021 |
| 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 | 2020, 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Tanzania, Tanzania, Tanzania, Tanzania, Tanzania |
T_00_04 |
Total population age 0-4 | integer | 0% | 31 | 319479, 187516, 822222, 401581, 424351 |
T_05_09 |
Total population age 5-9 | integer | 0% | 31 | 300961, 178690, 678359, 401792, 359934 |
T_10_14 |
Total population age 10-14 | integer | 0% | 31 | 278836, 165280, 649588, 341330, 312643 |
T_15_19 |
Total population age 15-19 | integer | 0% | 31 | 261716, 139204, 847710, 265713, 255610 |
T_20_24 |
Total population age 20-24 | integer | 0% | 31 | 212620, 119207, 909493, 211218, 196477 |
T_25_29 |
Total population age 25-29 | integer | 0% | 31 | 178798, 103709, 792737, 173866, 149408 |
T_30_34 |
Total population age 30-34 | integer | 0% | 31 | 152635, 94593, 659092, 156767, 121049 |
T_35_39 |
Total population age 35-39 | integer | 0% | 31 | 126976, 80468, 510104, 131151, 106822 |
T_40_44 |
Total population age 40-44 | integer | 0% | 31 | 102741, 69533, 389227, 121480, 87818 |
T_45_49 |
Total population age 45-49 | integer | 0% | 31 | 75883, 51137, 267504, 87236, 67674 |
T_50_54 |
Total population age 50-54 | integer | 0% | 30 | 53001, 40726, 169867, 72245, 46437 |
T_55_59 |
Total population age 55-59 | integer | 0% | 31 | 40513, 31865, 130955, 53489, 30732 |
T_60_64 |
Total population age 60-64 | integer | 0% | 31 | 29972, 29690, 85319, 43699, 24341 |
T_65_69 |
Total population age 65-69 | integer | 0% | 31 | 21895, 23556, 56202, 37031, 18064 |
T_70_74 |
Total population age 70-74 | integer | 0% | 31 | 15304, 19105, 33667, 28966, 13025 |
T_75_79 |
Total population age 75-79 | integer | 0% | 31 | 9773, 11809, 20253, 18369, 7841 |
T_80Plus |
T_80Plus | integer | 0% | 31 | 9350, 11754, 15278, 16399, 6287 |
M_00_04 |
Male population age 0-4 | integer | 0% | 31 | 162712, 95498, 417429, 202884, 214635 |
M_05_09 |
Male population age 5-9 | integer | 0% | 31 | 152837, 90947, 340037, 204475, 182452 |
M_10_14 |
Male population age 10-14 | integer | 0% | 31 | 139894, 84642, 312333, 174199, 158497 |
M_15_19 |
Male population age 15-19 | integer | 0% | 31 | 128557, 71551, 376811, 141052, 131616 |
M_20_24 |
Male population age 20-24 | integer | 0% | 31 | 102590, 58416, 450752, 107304, 100027 |
M_25_29 |
Male population age 25-29 | integer | 0% | 31 | 86123, 50388, 409395, 85479, 75446 |
M_30_34 |
Male population age 30-34 | integer | 0% | 31 | 75072, 46819, 346268, 75702, 61679 |
M_35_39 |
Male population age 35-39 | integer | 0% | 31 | 62559, 40712, 271536, 63224, 53507 |
M_40_44 |
Male population age 40-44 | integer | 0% | 31 | 52273, 35816, 212926, 58197, 44914 |
M_45_49 |
Male population age 45-49 | integer | 0% | 31 | 40647, 27789, 143447, 44492, 33615 |
| +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 | TZ0101, TZ0102, TZ0103, TZ0104, TZ0105 |
region_name |
Region name | string | SEL | 0% | 100 | KONDOA, MPWAPWA, KONGWA, CHAMWINO, DODOMA MUNICIPAL |
T_TL |
Total population | integer | SEL | 0% | 100 | 311638, 368137, 386458, 420529, 505425 |
M_TL |
Male population | integer | SEL | 0% | 100 | 160764, 182081, 190515, 206899, 250229 |
F_TL |
Female population | integer | SEL | 0% | 100 | 150874, 186056, 195943, 213630, 255196 |
| 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 | 2020, 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Tanzania, Tanzania, Tanzania, Tanzania, Tanzania |
T_00_04 |
Total population age 0-4 | integer | 0% | 100 | 47166, 58480, 64175, 70470, 64831 |
T_05_09 |
Total population age 5-9 | integer | 0% | 100 | 50580, 60193, 63734, 69618, 63348 |
T_10_14 |
Total population age 10-14 | integer | 0% | 100 | 46483, 51615, 52923, 55215, 59666 |
T_15_19 |
Total population age 15-19 | integer | 0% | 100 | 31596, 37430, 40778, 39497, 62512 |
T_20_24 |
Total population age 20-24 | integer | 0% | 100 | 22043, 29327, 31768, 31592, 54758 |
T_25_29 |
Total population age 25-29 | integer | 0% | 100 | 18646, 23970, 25753, 26467, 41978 |
T_30_34 |
Total population age 30-34 | integer | 0% | 100 | 16840, 23039, 23879, 25145, 34939 |
T_35_39 |
Total population age 35-39 | integer | 0% | 100 | 15295, 18978, 19645, 20868, 28023 |
T_40_44 |
Total population age 40-44 | integer | 0% | 100 | 14145, 17081, 17424, 21044, 25210 |
T_45_49 |
Total population age 45-49 | integer | 0% | 100 | 11014, 12354, 11777, 14508, 18576 |
T_50_54 |
Total population age 50-54 | integer | 0% | 100 | 9775, 9583, 9550, 11829, 14857 |
T_55_59 |
Total population age 55-59 | integer | 0% | 99 | 7270, 7394, 7117, 8546, 10959 |
T_60_64 |
Total population age 60-64 | integer | 0% | 100 | 6234, 5761, 5831, 7339, 8208 |
T_65_69 |
Total population age 65-69 | integer | 0% | 98 | 5128, 4683, 4558, 6672, 6959 |
T_70_74 |
Total population age 70-74 | integer | 0% | 100 | 4382, 3684, 3559, 5172, 4807 |
T_75_79 |
Total population age 75-79 | integer | 0% | 98 | 2744, 2419, 2033, 3364, 3166 |
T_80Plus |
T_80Plus | integer | 0% | 100 | 2297, 2146, 1954, 3183, 2628 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 24121, 29232, 32259, 35451, 32854 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 26210, 30347, 32170, 35486, 31989 |
M_10_14 |
Male population age 10-14 | integer | 0% | 100 | 24447, 26256, 26599, 28351, 29451 |
M_15_19 |
Male population age 15-19 | integer | 0% | 99 | 18924, 19680, 20936, 20925, 30826 |
M_20_24 |
Male population age 20-24 | integer | 0% | 100 | 11912, 14790, 15719, 15746, 28093 |
M_25_29 |
Male population age 25-29 | integer | 0% | 99 | 9198, 11770, 12547, 12852, 21227 |
M_30_34 |
Male population age 30-34 | integer | 0% | 100 | 8238, 11012, 11616, 11950, 17156 |
M_35_39 |
Male population age 35-39 | integer | 0% | 98 | 7470, 9204, 9426, 9749, 13700 |
M_40_44 |
Male population age 40-44 | integer | 0% | 100 | 6951, 8186, 8271, 9791, 12169 |
M_45_49 |
Male population age 45-49 | integer | 0% | 99 | 5930, 6217, 5974, 7173, 9546 |
| +24 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% | 100 | aasa1238, alag1248, aram1252, arus1242, asut1235 |
name |
Name | string | CCL | 0% | 100 | Aasax, Alagwa, Aramanik, Arusha, Asu (Tanzania) |
iso639_3 |
Iso639 3 | string | CCL | 7% | 93 | aas, wbj, aam, asa, bmb |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 1% | 6 | afro1255, afro1255, book1242, unat1236, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 1% | 67 | sout3054, nort3164, book1242, unat1236, pare1277 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 12 | ['TZ'], ['TZ'], ['TZ'], ['TZ'], ['KE', 'TZ'] |
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 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 3% | 96 | -4.00679, -4.64148, -2.90656, -4.17978, -4.49057 |
longitude |
longitude | float | 3% | 96 | 36.8648, 35.7231, 37.3491, 37.8323, 29.0507 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZ, TZ, TZ, TZ, TZ |
population_count |
Population count | float | SEL | 2% | 65 | 9901419.0, 10187886.0, 10487756.0, 10799528.0, 11127826.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 42.596, 42.841, 43.215, 43.616, 44.075 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 275.296020507813, 285.156799316406, 303.997436523438,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 89% | 7 | 59.1100006103516, 69.4300003051758, 78.0999984741211,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 241.9, 240.0, 237.9, 235.9, 233.5 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 91% | 5 | 38.6, 35.6, 34.4, 28.2, 26.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Tanzania, Tanzania, Tanzania, Tanzania, Tanzania |
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 | TZ, TZ, TZ, TZ, TZ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 42.596, 42.841, 43.215, 43.616, 44.075 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 15% | 51 | 47.9, 47.1, 46.0, 45.0, 44.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 62 | 241.9, 240.0, 237.9, 235.9, 233.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 980.0, 971.0, 964.0, 949.0, 927.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.536, 6.562, 6.605, 6.647, 6.68 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 48.97, 49.136, 49.448, 49.686, 49.788 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 21.114, 20.981, 20.78, 20.551, 20.265 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 77% | 13 | 0.055, 0.04, 0.045, 0.044, 0.044 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 70% | 19 | 1.49044585227966, 1.43130004405975, 1.4371999502182,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 25 | 59.0, 55.0, 50.0, 52.0, 58.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.41529942, 4.23551702, 4.68907642, 5.34231472, 5.7373414 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Tanzania, Tanzania, Tanzania, Tanzania, Tanzania |
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 | TZA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Tanzania |
admin_code |
Admin code | string | SEL | 0% | 1 | 36199320B23719009376906 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 889851.3616 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 66915233 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 75.2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA, TZA, TZA, TZA, TZA |
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% | 30 | Dar es Salaam, Mbeya, Mwanza, Tabora, Morogoro |
admin_code |
Admin code | string | SEL | 0% | 30 | 36957248B2633782293100, 36957248B75876472342648,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 30 | 1637.5, 61416.6799, 24642.1341, 75593.9522, 70607.7827 |
pop_2024 |
Population count | integer | SEL | 0% | 30 | 5832493, 4038461, 4034307, 3709893, 3495209 |
pop_density_2024 |
Population density | float | SEL | 0% | 30 | 3561.83, 65.76, 163.72, 49.08, 49.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA, TZA, TZA, TZA, TZA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 45 | Dar es-Salaam, Zanzibar City, Mwanza, Arusha, Mbeya |
admin_code |
Admin code | integer | SEL | 0% | 45 | 3570, 3673, 2053, 3193, 2369 |
area_sqkm |
Area sqkm | float | SEL | 0% | 45 | 901.0997, 120.2076, 173.8322, 167.8751, 106.318 |
pop_2024 |
Population count | integer | SEL | 0% | 45 | 5674832, 857130, 837194, 789778, 481267 |
pop_density_2024 |
Population density | float | SEL | 0% | 45 | 6297.67, 7130.41, 4816.1, 4704.56, 4526.67 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 45 | 8918525, 1026755, 977475, 806518, 587388 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 43 | 0.636, 0.835, 0.856, 0.979, 0.819 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 45 | Dar es-Salaam, Zanzibar City, Mwanza, Arusha, Mbeya |
country_code |
Country code | string | SEL | 0% | 1 | TZA, TZA, TZA, TZA, TZA |
population |
Population count | integer | SEL | 0% | 45 | 8918525, 1026755, 977475, 806518, 587388 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 45 | 3570, 3673, 2053, 3193, 2369 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Tanzania, Tanzania, Tanzania, Tanzania, Tanzania |
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 | TZA, TZA, TZA, TZA, TZA |
society_id |
Society id | string | CCL | 0% | 34 | Ad36, Ad38, Ad39, Ad43, Ad47 |
society_name |
Society name | string | CCL | 0% | 34 | Pare, Kara, Sonjo, Kerewe, Sumbwa |
language_glottocode |
Language glottocode | string | CCL | 0% | 34 | asut1235, kara1481, temi1247, kere1283, sumb1240 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 24 | EA001:0; EA002:0; EA003:0; EA004:4; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 17 | EA006:1; EA007:8; EA008:5; EA009:5; EA010:8, EA006:3;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 24 | EA028:5; EA029:6; EA030:5; EA031:NA; EA032:2, EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 14 | EA033:1; EA034:NA; EA035:NA, EA033:1; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 12 | EA034:NA; EA112:NA, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 9 | 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 | United Republic of Tanzania, United Republic of... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 10 | -4.0, -2.0, -3.0, -3.0, -4.0 |
longitude |
longitude | float | 0% | 12 | 38.0, 33.0, 36.0, 33.0, 32.0 |
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, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZ, TZ, TZ, TZ, TZ |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | TZA, TZA, TZA, TZA, TZA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 10 | 3.61, 24.74, 42.8, 0.0, 0.0 |
grocery |
grocery | float | 0% | 8 | 6.87, 6.3, 0.0, 0.0, 0.0 |
parks |
parks | float | 0% | 9 | 1.49, 71.65, 0.0, 0.0, 0.0 |
transit |
transit | float | 0% | 19 | -6.13, 17.45, 31.37, 0.0, 19.66 |
workplaces |
workplaces | float | 0% | 23 | -7.92, 2.72, 10.37, 0.48, -6.8 |
residential |
residential | float | 0% | 8 | 3.2, 8.48, 5.58, 0.0, 0.0 |
region |
region | string | 0% | 24 | Arusha Region, Dar es Salam, Dodoma Region, Geita... |
observation_count |
observation_count | integer | 0% | 23 | 3755, 3896, 1941, 1424, 1898 |
| 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 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 127.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .tz |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 29.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | 76,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 76000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 86.8 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 86.8 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 127 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | about 45 TV stations, with 13 national that broadcast... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 45.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 29% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.66 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.66 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.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 | 3700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 78.78 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 26.4 |
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | emerging lower middle-income East African economy;... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $246.706 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 | 246.706 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $233.786 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 | 233.786 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $222.506 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 | 222.506 |
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 | 5.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 5.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.6 |
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 | $3,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $3,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 3500.0 |
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 | $78.78 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 3.8% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 3.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 4.4% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 4.4 |
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 | 23.4% (2024 est.) |
| +121 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 | 45.8 |
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | 45.8% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 74.7% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 74.7 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 36% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 36.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 1.818 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 1.818 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 9.109 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 9.109 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 157.688 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 157.688 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 2.039 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 2.039 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 74.5% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 74.5 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.3 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 24.6% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 24.6 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.7% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.7 |
coal_production_text |
coal_production_text | string | 0% | 1 | 2.341 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 2.341 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 740,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 740000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 1.602 million metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 1.602 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 21 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 21.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 1.41 billion metric tons (2023 est.) |
| +13 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 | 44.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 50.1 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 37.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.89 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 9.277 |
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | water pollution; improper management of liquid waste;... |
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 | varies from tropical along coast to temperate in highlands |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 44.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 15.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 15.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 27.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 27.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 50.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 5.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 5.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 37.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.89% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 17.707 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 17.707 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 1.687 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 | 1.687 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 12.066 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 | 12.066 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 3.954 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 | 3.954 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 14.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 14.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 568.3 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 568.3 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 1,176.8 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 1176.8 |
| +21 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 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | Tanzanian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Tanzanian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | mainland - African 99% (of which 95% are Bantu... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 99.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 947300.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 885800.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 61500.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 4161.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 1424.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 5895.0 |
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 | 44.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 50.1 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1840.0 |
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Africa, bordering the Indian Ocean, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 6 00 S, 35 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 6.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 947,300 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 885,800 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 61,500 sq km |
area_note |
area_note | string | 0% | 1 | note: includes the islands of Mafia, Pemba, and Zanzibar |
area_comparative_text |
area_comparative_text | string | 0% | 1 | more than six times the size of Georgia; slightly larger... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 4,161 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Burundi 589 km; Democratic Republic of the Congo 479 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 589.0 |
coastline_text |
coastline_text | string | 0% | 1 | 1,424 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 | varies from tropical along coast to temperate in highlands |
terrain_text |
terrain_text | string | 0% | 1 | plains along coast; central plateau; highlands in north, south |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Kilimanjaro (highest point in Africa) 5,895 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Indian Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,018 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1018.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | hydropower, tin, phosphates, iron ore, coal, diamonds,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 44.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 15.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 15.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 27.1% (2023 est.) |
| +21 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 | TZA |
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 | United Republic of Tanzania |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Tanzania |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Jamhuri ya Muungano wa Tanzania |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Tanzania |
country_name_former_text |
country_name_former_text | string | 0% | 1 | German East Africa, Trust Territory of Tanganyika,... |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country's name is a combination of the first letters... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1964.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Dodoma |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 6 48 S, 39 17 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 6.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name comes from the name of a nearby mountain; the... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 31 regions; Arusha, Dar es Salaam, Dodoma, Geita,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 31.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | English common law; judicial review of legislative acts... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted 25 April 1977 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 25.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly; passage of amendments... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Tanzania; if a... |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Samia Suluhu HASSAN (since 19 March 2021) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 19.0 |
| +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 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Tanzania contains some of Africa’s most iconic national... |
background_numeric |
background_numeric | float | 0% | 1 | 1498.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Kiswahili or Swahili (official), Kiunguja (name for... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | The World Factbook, Chanzo cha Lazima Kuhusu Habari ya... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | 218,123 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 218123.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 75,117 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 75117.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | Tanzania People's Defense Forces (TPDF or Jeshi la... |
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 | 1.3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.2% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.2 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 25,000 active Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 25000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the TPDF's inventory includes mostly British, Chinese,... |
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 | generally 18-25 years of age for voluntary military... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 520 Central African Republic (MINUSCA); more than 1,000... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 520.0 |
military_note_text |
military_note_text | string | 0% | 1 | the chief concerns of the Tanzania Defense Forces (TDPF)... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2024.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 69145464.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 34597449.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 34548015.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 41.2 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 55.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 81.8 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 76.0 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 18.8 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.85 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 33.45 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.96 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 37.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.89 |
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 | 1.0 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 276.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 28.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 70.8 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 4.45 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.19 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.13 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.6 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 78.2 |
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | 69,145,464 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 34,597,449 |
population_female_text |
population_female_text | string | 0% | 1 | 34,548,015 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 41.2% (male 14,039,292/female 13,740,439) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 55.4% (male 18,677,388/female 18,708,390) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.4% (2024 est.) (male 975,224/female 1,321,388) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 81.8 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 76 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 17.3 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 17.3 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 18.8 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 18.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 18.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 19.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 19.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.85% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 33.45 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.96 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the largest and most populous East African country;... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 37.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.89% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 262,000 Dodoma (legislative capital) (2018), 7.776... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 262000.0 |
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 | 1 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.0 |
| +93 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 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 63.1 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 34.1 |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 0.5 |
composition_religion_hindu_pct_synth |
Hindu | numeric | CCL | 0% | - | 0.5 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.5 |
composition_ethnicity_primary_label_synth |
mainland - African | string | CCL | 0% | - | mainland - African |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 63.1%, Muslim 34.1%, folk religion 1.1%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 63.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_folk_religion_pct_synth |
folk religion | numeric | 0% | - | 1.1 |
composition_religion_jewish_pct_synth |
Jewish | numeric | 0% | - | 0.5 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 1.6 |
composition_ethnicity_mainland_african_pct_synth |
mainland - African | numeric | 0% | - | 99.0 |
composition_ethnicity_mainland_african__of_which_are_bantu_consisting_of_more_than_130_tribes_pct_synth |
of which are Bantu consisting of more than 130 tribes | numeric | 0% | - | 95.0 |
composition_ethnicity_other_consisting_of_asian_european_and_arab_zanzibar_arab_pct_synth |
other (consisting of Asian, European, and Arab); Zanzibar - Arab | numeric | 0% | - | 1.0 |
composition_ethnicity_african_pct_synth |
African | numeric | 0% | - | - |
composition_ethnicity_mixed_arab_and_african_pct_synth |
mixed Arab and African | numeric | 0% | - | - |
composition_ethnicity_primary_share_pct_synth |
mainland - African | numeric | 0% | - | 99.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | al-Shabaab; Islamic State of Iraq and ash-Sham (ISIS) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | 5H |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 206.0 |
country_code |
Country code | string | SEL | 0% | 1 | TZA |
country_name |
Country name | string | SEL | 0% | 1 | Tanzania |
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 | 5.0 |
airports_text |
airports_text | string | 0% | 1 | 206 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 4,097 km (2022) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 4097.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 421 km (2022) |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 421.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 969 km (2022) 1.067 m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 969.0 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 2,707 km (2022) 1.000 m guage |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 2707.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 381 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 381.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 4, container ship 17, general cargo 170,... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 4.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 8 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 8.0 |
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 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 3 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 3.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 4 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 4.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Chake Chake, Dar Es Salaam, Tanga, Zanzibar |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/tz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA |
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 | TZA |
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 | TZA |
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 | TZA |
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 | TZA |
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 | TZA, TZA |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | eng, swa |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | English, Swahili (generic) |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 2126, 61 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 97.2108, 2.7892 |
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 | TZA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Tanzania |
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 | 99.9914 |
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 | 23274 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 19017 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 23272 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
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_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4018 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3177 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 8973 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 7646 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4008 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2705 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 846 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 801 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 632 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 541 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 4782 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 4136 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 9 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 7 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 6 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 4 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA, TZA |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Shirazi (Zanzibar Africans), Zanzibar Arabs |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | DISCRIMINATED, MONOPOLY |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.56, 0.17 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 51101000, 51102000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | false, |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 1964, 1964 |
group_relevance |
group_relevance | string | 0% | 1 | , |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TZA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 2,126 | 97.2% | — |
| Swahili (generic) (swa) | 61 | 2.8% | — |
19,017 distinct features ·
2 languages ·
0 scripts ·
2 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 | |
| World Bank Open Data | international_organization | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Values Survey | academic | metadata_catalog |
| Afrobarometer | academic | 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.