| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ, MOZ, MOZ, MOZ, MOZ |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 12 | Total, Cabo delgado, Gaza, Inhambane, Manica |
human_development_index |
Human development index | float | SEL | 0% | 68 | 0.271, 0.246, 0.276, 0.281, 0.277 |
health_index |
Health index | float | SEL | 0% | 76 | 0.374, 0.424, 0.381, 0.393, 0.427 |
education_index |
Education index | float | SEL | 0% | 71 | 0.215, 0.15, 0.208, 0.22, 0.208 |
income_index |
Income index | float | SEL | 0% | 59 | 0.247, 0.234, 0.264, 0.259, 0.24 |
life_expectancy |
Life expectancy | float | SEL | 0% | 97 | 44.34, 47.56, 44.76, 45.52, 47.73 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 3.226, 2.493, 3.063, 2.949, 3.34 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 9 | 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% | 1 | MZ |
region_name |
Region name | string | SEL | 0% | 1 | Mozambique |
F_TL |
Female population | integer | SEL | 0% | 1 | 18087464 |
M_TL |
Male population | integer | SEL | 0% | 1 | 17076528 |
T_TL |
Total population | integer | SEL | 0% | 1 | 35163992 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2025 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 2945977 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 2602261 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 2319463 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 2001038 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 1642560 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 1387948 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 1179779 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 965051 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 765635 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 620302 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 491091 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 374580 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 272545 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 203609 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 143867 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 89101 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 82657 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 2921823 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 2625948 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 2385868 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 2011532 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 1562541 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 1233008 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 953152 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 793733 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 660475 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 539680 |
M_50_54 |
Male population age 50-54 | integer | 0% | 1 | 430939 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 11 | MZ01, MZ02, MZ03, MZ04, MZ05 |
region_name |
Region name | string | SEL | 0% | 11 | Cabo Delgado, Gaza, Inhambane, Manica, Maputo |
F_TL |
Female population | integer | SEL | 0% | 11 | 1540124, 891617, 905264, 1354674, 1283852 |
M_TL |
Male population | integer | SEL | 0% | 11 | 1483699, 764889, 793589, 1260157, 1199379 |
T_TL |
Total population | integer | SEL | 0% | 11 | 3023823, 1656506, 1698853, 2614831, 2483231 |
| 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 | 2025, 2025, 2025, 2025, 2025 |
F_00_04 |
Female population age 0-4 | integer | 0% | 11 | 295988, 116960, 122451, 233235, 132413 |
F_05_09 |
Female population age 5-9 | integer | 0% | 11 | 222859, 114351, 115574, 209122, 140538 |
F_10_14 |
Female population age 10-14 | integer | 0% | 11 | 182526, 107376, 105894, 180207, 156756 |
F_15_19 |
Female population age 15-19 | integer | 0% | 11 | 161304, 98956, 98394, 150305, 147247 |
F_20_24 |
Female population age 20-24 | integer | 0% | 11 | 127132, 90041, 91296, 127982, 122793 |
F_25_29 |
Female population age 25-29 | integer | 0% | 11 | 107507, 69956, 68081, 106928, 114098 |
F_30_34 |
Female population age 30-34 | integer | 0% | 11 | 94278, 52208, 49261, 87366, 100000 |
F_35_39 |
Female population age 35-39 | integer | 0% | 11 | 78439, 47039, 45884, 68048, 91486 |
F_40_44 |
Female population age 40-44 | integer | 0% | 11 | 63965, 42661, 42909, 50374, 81805 |
F_45_49 |
Female population age 45-49 | integer | 0% | 11 | 53769, 35292, 37298, 38498, 61005 |
F_50_54 |
Female population age 50-54 | integer | 0% | 11 | 44398, 28374, 31906, 28651, 41017 |
F_55_59 |
Female population age 55-59 | integer | 0% | 11 | 33110, 24074, 26734, 22085, 31109 |
F_60_64 |
Female population age 60-64 | integer | 0% | 11 | 23061, 20144, 21696, 16898, 23123 |
F_65_69 |
Female population age 65-69 | integer | 0% | 11 | 18891, 15877, 17274, 13239, 16383 |
F_70_74 |
Female population age 70-74 | integer | 0% | 11 | 15169, 11691, 12887, 9956, 10833 |
F_75_79 |
Female population age 75-79 | integer | 0% | 11 | 9651, 7799, 8523, 6243, 6599 |
F_80Plus |
F_80Plus | integer | 0% | 11 | 8077, 8818, 9202, 5537, 6647 |
M_00_04 |
Male population age 0-4 | integer | 0% | 11 | 294772, 112512, 120365, 227211, 131217 |
M_05_09 |
Male population age 5-9 | integer | 0% | 11 | 226332, 111143, 115471, 205985, 141366 |
M_10_14 |
Male population age 10-14 | integer | 0% | 11 | 190574, 104826, 107714, 179517, 160230 |
M_15_19 |
Male population age 15-19 | integer | 0% | 11 | 163774, 97430, 99987, 147795, 146328 |
M_20_24 |
Male population age 20-24 | integer | 0% | 11 | 120293, 88678, 90157, 121629, 114953 |
M_25_29 |
Male population age 25-29 | integer | 0% | 11 | 96708, 62042, 59441, 93827, 102412 |
M_30_34 |
Male population age 30-34 | integer | 0% | 11 | 79436, 38260, 33412, 68637, 84228 |
M_35_39 |
Male population age 35-39 | integer | 0% | 11 | 68558, 33531, 31194, 55603, 78429 |
M_40_44 |
Male population age 40-44 | integer | 0% | 11 | 59513, 30335, 30005, 44345, 73042 |
M_45_49 |
Male population age 45-49 | integer | 0% | 11 | 50401, 23381, 25452, 33992, 54573 |
M_50_54 |
Male population age 50-54 | integer | 0% | 11 | 41622, 17288, 21259, 25286, 36729 |
| +23 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 | MZ0101, MZ0102, MZ0103, MZ0104, MZ0105 |
region_name |
Region name | string | SEL | 0% | 100 | Ancuabe, Balama, Chiure, Cidade De Pemba, Ibo |
F_TL |
Female population | integer | SEL | 0% | 98 | 98645, 93555, 163629, 142741, 16810 |
M_TL |
Male population | integer | SEL | 0% | 98 | 95233, 88893, 152420, 144073, 16988 |
T_TL |
Total population | integer | SEL | 0% | 98 | 193878, 182448, 316049, 286814, 33798 |
| 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 | 2025, 2025, 2025, 2025, 2025 |
F_00_04 |
Female population age 0-4 | integer | 0% | 98 | 18817, 18234, 31675, 29562, 3282 |
F_05_09 |
Female population age 5-9 | integer | 0% | 98 | 14158, 13929, 24595, 20716, 2390 |
F_10_14 |
Female population age 10-14 | integer | 0% | 98 | 12293, 11092, 18530, 18381, 2077 |
F_15_19 |
Female population age 15-19 | integer | 0% | 98 | 10622, 9448, 16045, 17531, 1908 |
F_20_24 |
Female population age 20-24 | integer | 0% | 98 | 8052, 7827, 13321, 13661, 1443 |
F_25_29 |
Female population age 25-29 | integer | 0% | 98 | 6714, 6673, 11512, 11157, 1199 |
F_30_34 |
Female population age 30-34 | integer | 0% | 98 | 5864, 5808, 10266, 8723, 1033 |
F_35_39 |
Female population age 35-39 | integer | 0% | 97 | 4973, 4906, 8847, 6557, 819 |
F_40_44 |
Female population age 40-44 | integer | 0% | 97 | 4323, 4206, 7798, 4532, 577 |
F_45_49 |
Female population age 45-49 | integer | 0% | 98 | 3694, 3540, 6607, 3501, 489 |
F_50_54 |
Female population age 50-54 | integer | 0% | 97 | 3069, 2843, 5240, 2953, 510 |
F_55_59 |
Female population age 55-59 | integer | 0% | 97 | 2149, 1937, 3530, 2017, 382 |
F_60_64 |
Female population age 60-64 | integer | 0% | 96 | 1235, 1091, 1928, 1138, 215 |
F_65_69 |
Female population age 65-69 | integer | 0% | 97 | 949, 800, 1415, 847, 165 |
F_70_74 |
Female population age 70-74 | integer | 0% | 93 | 751, 581, 1057, 636, 129 |
F_75_79 |
Female population age 75-79 | integer | 0% | 93 | 538, 344, 705, 413, 89 |
F_80Plus |
F_80Plus | integer | 0% | 91 | 444, 296, 558, 416, 103 |
M_00_04 |
Male population age 0-4 | integer | 0% | 98 | 18739, 18160, 31545, 29441, 3268 |
M_05_09 |
Male population age 5-9 | integer | 0% | 98 | 14379, 14146, 24978, 21039, 2428 |
M_10_14 |
Male population age 10-14 | integer | 0% | 97 | 12909, 11504, 19334, 18397, 2229 |
M_15_19 |
Male population age 15-19 | integer | 0% | 98 | 10926, 9453, 15849, 17487, 2010 |
M_20_24 |
Male population age 20-24 | integer | 0% | 97 | 7974, 7221, 11846, 13646, 1375 |
M_25_29 |
Male population age 25-29 | integer | 0% | 98 | 6304, 5777, 9550, 10959, 1127 |
M_30_34 |
Male population age 30-34 | integer | 0% | 97 | 5035, 4588, 7898, 8311, 1028 |
M_35_39 |
Male population age 35-39 | integer | 0% | 97 | 4282, 4004, 6963, 6606, 870 |
M_40_44 |
Male population age 40-44 | integer | 0% | 98 | 3657, 3702, 6375, 4744, 639 |
M_45_49 |
Male population age 45-49 | integer | 0% | 96 | 3121, 3158, 5455, 3823, 526 |
M_50_54 |
Male population age 50-54 | integer | 0% | 96 | 2774, 2542, 4453, 3634, 488 |
| +23 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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MZ, MZ, MZ, MZ, MZ |
population_count |
Population count | float | SEL | 2% | 65 | 6713695.0, 6834936.0, 6969364.0, 7109828.0, 7255061.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 41.197, 41.5, 41.761, 41.958, 41.656 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 49% | 34 | 288.708092484444, 205.585216062094, 205.189844208699,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 88% | 8 | 27.0, 38.7099990844727, 48.1599998474121,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 8% | 59 | 265.4, 266.5, 267.5, 268.1, 268.5 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 91% | 6 | 69.4, 60.3, 58.7, 48.4, 68.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Mozambique, Mozambique, Mozambique, Mozambique, Mozambique |
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 | MZ, MZ, MZ, MZ, MZ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 41.197, 41.5, 41.761, 41.958, 41.656 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 33% | 38 | 62.8, 62.9, 63.1, 63.1, 63.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 8% | 59 | 265.4, 266.5, 267.5, 268.1, 268.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 1452.0, 1355.0, 1348.0, 1259.0, 1209.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 6.312, 6.366, 6.424, 6.474, 6.513 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 48.26, 48.415, 48.485, 48.484, 48.388 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 23.568, 23.362, 23.189, 23.045, 23.256 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 65% | 20 | 0.043, 0.056, 0.053, 0.025, 0.027 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 70% | 15 | 0.808872818946838, 1.17519998550415, 1.0896999835968,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 28 | 56.0, 43.0, 38.0, 32.0, 29.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.14253044, 2.80098224, 3.18652654, 3.25095367, 3.53062654 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Mozambique, Mozambique, Mozambique, Mozambique, Mozambique |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 43 | 15.5, 24.5, 17.5, 30.4, 55.3 |
men_who_are_literate |
Men who are literate | float | CCL | 25% | 33 | 56.9, 45.2, 56.5, 63.7, 66.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Mozambique, Mozambique, Mozambique, Mozambique, Mozambique |
survey_year |
survey_year | integer | 0% | 4 | 2003, 2011, 2018, 2022, 2003 |
region |
region | string | 0% | 11 | Cabo Delgado, Cabo Delgado, Cabo Delgado, Cabo Delgado, Gaza |
survey_id |
survey_id | string | 0% | 4 | MZ2003DHS, MZ2011DHS, MZ2018MIS, MZ2022DHS, MZ2003DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, MIS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 59 | 0.6, 5.3, 5.8, 3.3, 22.9 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 33% | 38 | 123.0, 177.0, 82.0, 55.0, 135.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 33% | 41 | 165.0, 240.0, 116.0, 89.0, 208.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 17% | 53 | 25.4, 57.9, 58.5, 86.2, 36.3 |
children_underweight |
Children underweight | float | CCL | 33% | 41 | 44.8, 29.4, 20.6, 18.2, 10.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Mozambique, Mozambique, Mozambique, Mozambique, Mozambique |
survey_year |
survey_year | integer | 0% | 6 | 1997, 2003, 2009, 2011, 2015 |
region |
region | string | 0% | 11 | Cabo Delgado, Cabo Delgado, Cabo Delgado, Cabo Delgado,... |
survey_id |
survey_id | string | 0% | 6 | MZ1997DHS, MZ2003DHS, MZ2009AIS, MZ2011DHS, MZ2015AIS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, AIS, DHS, AIS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Mozambique |
admin_code |
Admin code | string | SEL | 0% | 1 | 74581448B79694950765469 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 787280.9663 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 33226176 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 42.2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ, MOZ, MOZ, MOZ, MOZ |
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 | Nampula, Zambézia, Maputo, Tete, Cabo Delgado |
admin_code |
Admin code | string | SEL | 0% | 10 | 27363107B75878915981920, 27363107B53339704098913,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 78207.8674, 102102.7981, 23399.6102, 100705.0683, 77947.9054 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 6697368, 6192323, 3684430, 3173504, 2768918 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 85.64, 60.65, 157.46, 31.51, 35.52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ, MOZ, MOZ, MOZ, MOZ |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 44 | Maputo, Nampula, Beira, Chimoio, Quelimane |
admin_code |
Admin code | integer | SEL | 0% | 44 | 299, 3306, 1892, 1107, 2774 |
area_sqkm |
Area sqkm | float | SEL | 0% | 44 | 567.6261, 118.3112, 98.4873, 67.6421, 42.7666 |
pop_2024 |
Population count | integer | SEL | 0% | 44 | 2653702, 888049, 625028, 431774, 415638 |
pop_density_2024 |
Population density | float | SEL | 0% | 44 | 4675.09, 7506.04, 6346.28, 6383.21, 9718.75 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 44 | 3533370, 1028776, 627142, 519721, 521924 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 41 | 0.751, 0.863, 0.997, 0.831, 0.796 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 45 | afri1274, barw1243, chop1243, chuw1238, dema1235 |
name |
Name | string | CCL | 0% | 45 | Afrikaans, Barwe, Chopi, Chuwabu, Dema |
iso639_3 |
Iso639 3 | string | CCL | 0% | 45 | afr, bwg, cce, chw, dmx |
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% | 3 | indo1319, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 27 | afri1273, sena1270, chop1242, chuw1240, nyun1249 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 15 | ['BW', 'MZ', 'NA', 'ZA', 'ZM', 'ZW'], ['MZ'], ['MZ'],... |
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% | 11 | 3, 0, 6, 4, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 45 | -31.63272, -17.675, -24.8327, -17.3428, -15.73939 |
longitude |
longitude | float | 0% | 45 | 20.46356, 33.4534, 34.1097, 37.1231, 32.32783 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 44 | Maputo, Nampula, Beira, Quelimane, Chimoio |
country_code |
Country code | string | SEL | 0% | 1 | MOZ, MOZ, MOZ, MOZ, MOZ |
population |
Population count | integer | SEL | 0% | 44 | 3533370, 1028776, 627142, 521924, 519721 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 44 | 299, 3306, 1892, 2774, 1107 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Mozambique, Mozambique, Mozambique, Mozambique, Mozambique |
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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 50.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .mz |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 20.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | 29,000 (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 29000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 17.1 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 17.1 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 50 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 1 state-run TV station supplemented by a private TV... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 20% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 65,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 65000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.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 | 1500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 22.417 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 62.8 |
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | low-income East African economy; subsistence farming... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $51.786 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 | 51.786 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $50.844 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 | 50.844 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $48.222 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 | 48.222 |
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 | 1.9% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 1.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.4% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.4% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.4 |
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 | $1,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $1,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 1500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $1,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 1500.0 |
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 | $22.417 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 7.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 7.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 10.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 10.3 |
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 | 26.3% (2024 est.) |
| +118 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 | 33.2 |
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | 33.2% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 79.4% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 79.4 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 5% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 5.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 2.86 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 2.86 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 12.983 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 12.983 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 11.483 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 11.483 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 8.287 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 8.287 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.38 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.38 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 16.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 16.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 82.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 82.7 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.6% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.6 |
coal_production_text |
coal_production_text | string | 0% | 1 | 10.583 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 10.583 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 13,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 13000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 10.658 million metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 10.658 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 900 metric tons (2023 est.) |
| +17 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 | 52.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 41.7 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 38.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.24 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.5 |
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | increased population migration to urban and coastal... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
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 | tropical to subtropical |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 52.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 7.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 7.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 45.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 45.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 41.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 5.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 5.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 38.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.24% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 9.549 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 9.549 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | -68,287 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 | -68287.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 6.244 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 | 6.244 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 3.373 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 | 3.373 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 17.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 17.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 320.1 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 320.1 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 169.5 kt (2019-2021 est.) |
| +18 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 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | Mozambican(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Mozambican |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | African 99% (Makhuwa, Tsonga, Lomwe, Sena, and others),... |
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/mz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 799380.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 786380.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 13000.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 4783.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 2470.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2436.0 |
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 | 52.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 41.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1180.0 |
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southeastern Africa, bordering the Mozambique Channel,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 18 15 S, 35 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 18.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 799,380 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 786,380 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 13,000 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly more than five times the size of Georgia;... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 4,783 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Malawi 1498 km; South Africa 496 km; Eswatini 108 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1498.0 |
coastline_text |
coastline_text | string | 0% | 1 | 2,470 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 | tropical to subtropical |
terrain_text |
terrain_text | string | 0% | 1 | mostly coastal lowlands, uplands in center, high... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Monte Binga 2,436 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 | 345 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 345.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | coal, titanium, natural gas, hydropower, tantalum, graphite |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 52.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 7.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 7.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 45.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 45.1 |
| +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 | MOZ |
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 Mozambique |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Mozambique |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republica de Mocambique |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Mocambique |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Portuguese East Africa, People's Republic of Mozambique |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for an offshore island; the island was named after... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 15.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Maputo |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 25 57 S, 32 35 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 25.0 |
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 the Maputo River, which drains into Maputo... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 18.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 10 provinces (provincias, singular - provincia), 1 city... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 10.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of Portuguese civil law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1975, 1990; latest adopted 16 November 2004,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1975.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or supported... |
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 Mozambique |
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 Daniel Francisco CHAPO (since 15 January 2025) |
| +71 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 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 first half of the second millennium A.D.,... |
background_numeric |
background_numeric | float | 0% | 1 | 1500.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Makhuwa 26.1%, Portuguese (official) 16.6%, Tsonga 8.6%,... |
languages_numeric |
languages_numeric | float | 0% | 1 | 26.1 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | 24,250 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 24250.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 718,154 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 718154.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Armed Forces for the Defense of Mozambique (Forcas... |
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 | 2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 12,000 active FADM (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 12000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FADM's inventory consists primarily of Soviet-era... |
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 | registration for military service is mandatory for all... |
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 FADM is responsible for external security,... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2017.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 34206144.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 16880529.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 17325615.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 44.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 52.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.9 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 89.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 83.7 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 17.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.53 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 36.07 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 9.34 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.46 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 38.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.24 |
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 | 0.97 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 82.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 56.7 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 58.3 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 4.58 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.26 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.18 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.7 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 61.7 |
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | 34,206,144 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 16,880,529 |
population_female_text |
population_female_text | string | 0% | 1 | 17,325,615 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 44.7% (male 7,548,247/female 7,350,012) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 52.4% (male 8,428,457/female 9,061,065) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.9% (2024 est.) (male 473,030/female 490,143) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 89.2 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 83.7 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 18.3 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 18.3 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 17.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 16.7 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 16.7 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 17.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 17.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.53% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 36.07 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 9.34 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.46 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | three large population clusters are found along the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 38.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.24% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.852 million Matola, 1.163 million MAPUTO (capital),... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.852 |
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 | 1.03 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.03 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.93 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.93 |
| +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 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 4.3 |
composition_ethnicity_primary_label_synth |
African | string | CCL | 0% | - | African |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Catholic 27.3%, Islam 19.1%, Pentecostal 16.7%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 27.3 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 27.3 |
composition_religion_islam_pct_synth |
Islam | numeric | 0% | - | 19.1 |
composition_religion_pentecostal_pct_synth |
Pentecostal | numeric | 0% | - | 16.7 |
composition_religion_saio_zione_pct_synth |
Saio/Zione | numeric | 0% | - | 16.3 |
composition_religion_no_religion_pct_synth |
no religion | numeric | 0% | - | 13.5 |
composition_religion_anglican_pct_synth |
Anglican | numeric | 0% | - | 1.7 |
composition_religion_unknown_pct_synth |
unknown | numeric | 0% | - | 1.2 |
composition_ethnicity_african_pct_synth |
African | numeric | 0% | - | 99.0 |
composition_ethnicity_mestizo_pct_synth |
Mestizo | numeric | 0% | - | 0.8 |
composition_ethnicity_other_includes_european_indian_pakistani_chinese_pct_synth |
other (includes European, Indian, Pakistani, Chinese) | numeric | 0% | - | 0.2 |
composition_ethnicity_primary_share_pct_synth |
African | numeric | 0% | - | 99.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | Islamic State of Iraq and ash-Sham - Mozambique (ISIS-M) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.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 | C9 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 92.0 |
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
country_name |
Country name | string | SEL | 0% | 1 | Mozambique |
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 | 9.0 |
airports_text |
airports_text | string | 0% | 1 | 92 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 4,787 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 4787.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 4,787 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 4787.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 36 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 36.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 9, other 27 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 9.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 11 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 11.0 |
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 | 2 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 2.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 5 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 5.0 |
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 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Beira, Chinde, Inhambane, Maputo, Mocambique, Pebane, Porto Belo |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ, MOZ, MOZ, MOZ, MOZ |
society_id |
Society id | string | CCL | 0% | 12 | Ab16, Ab17, Ab22, Ab4, Ac33 |
society_name |
Society name | string | CCL | 0% | 12 | Lenge, Ndau, Chopi, Tsonga, Lala |
language_glottocode |
Language glottocode | string | CCL | 0% | 12 | leng1257, ndau1241, copi1238, tson1249, lala1264 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 10 | EA001:1; EA002:1; EA003:1; EA004:2; EA005:5, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 11 | EA006:1; EA007:8; EA008:7; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 7 | EA028:3; EA029:6; EA030:6; EA031:NA; EA032:3, EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 7 | EA033:2; EA034:NA; EA035:NA, EA033:NA; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 6 | EA034:NA; EA112:6, EA034:NA; EA112:4, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 5 | 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 | Mozambique, Mozambique, Mozambique, Mozambique, Mozambique |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 9 | -25.0, -20.0, -24.76, -24.0, -15.0 |
longitude |
longitude | float | 0% | 8 | 34.0, 34.0, 34.47, 32.0, 31.0 |
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 | MZ, MZ, MZ, MZ, MZ |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | MOZ, MOZ, MOZ, MOZ, MOZ |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 6 | 0.0, 0.0, 0.0, 0.0, 6.17 |
grocery |
grocery | float | 0% | 6 | 0.0, 0.0, 0.0, 0.0, 15.33 |
parks |
parks | float | 0% | 8 | -22.92, -2.53, -5.04, 0.0, -14.83 |
transit |
transit | float | 0% | 8 | -0.36, 0.0, 0.0, 0.0, -2.75 |
workplaces |
workplaces | float | 0% | 11 | 12.93, -0.16, 13.9, 37.74, 0.0 |
residential |
residential | float | 0% | 6 | 0.0, 0.0, 0.0, 0.0, 7.41 |
region |
region | string | 0% | 11 | Cabo Delgado Province, Gaza Province, Inhambane... |
observation_count |
observation_count | integer | 0% | 11 | 1854, 1636, 1871, 1662, 974 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MOZ |
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 | MOZ |
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 | MOZ |
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 | MOZ |
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 | MOZ |
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 | MOZ, MOZ, MOZ |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Tsonga-Chopi, Shona-Ndau, Makonde-Yao |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | SENIOR PARTNER, POWERLESS, SENIOR PARTNER |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.287, 0.098, 0.067 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 54104000, 54103000, 54101000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 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 | MOZ, MOZ |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | por, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Portuguese, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 554, 24 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 95.8478, 4.1522 |
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 | MOZ |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Mozambique |
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 | 99.99 |
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 | 59875 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 48868 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 59869 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 6 |
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 | 25024 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 22647 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 3908 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 3399 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 6145 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 4599 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 23590 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 17451 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 555 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 173 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 636 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 582 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 2 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 2 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 15 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 15 |
| 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. | |||||
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 |
|---|---|---|---|
| Portuguese (por) | 554 | 95.8% | — |
| English (eng) | 24 | 4.2% | — |
48,868 distinct features ·
2 languages ·
0 scripts ·
6 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.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.