ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV, CPV, CPV, CPV, CPV |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 6 | Total, Fogo, S.Antao, S.Vicente, Santiago- Praia |
human_development_index |
Human development index | float | SEL | 0% | 80 | 0.632, 0.634, 0.58, 0.699, 0.627 |
health_index |
Health index | float | SEL | 0% | 20 | 0.74, 0.74, 0.74, 0.74, 0.763 |
education_index |
Education index | float | SEL | 0% | 90 | 0.605, 0.662, 0.462, 0.759, 0.547 |
income_index |
Income index | float | SEL | 0% | 70 | 0.564, 0.519, 0.572, 0.608, 0.59 |
life_expectancy |
Life expectancy | float | SEL | 0% | 20 | 68.12, 68.12, 68.12, 68.12, 69.58 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 9.076, 9.931, 6.93, 11.39, 8.203 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 17 | 2000, 2000, 2000, 2000, 2000 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CV, CV, CV, CV, CV |
population_count |
Population count | float | SEL | 2% | 65 | 210024.0, 215087.0, 221919.0, 229373.0, 237006.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 48.713, 49.419, 50.239, 51.145, 52.089 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 32% | 45 | 439.982602420059, 425.407688720331, 422.664667963472,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 92% | 5 | 62.7999992370605, 82.2123790224733, 85.3300018310547,... |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 92% | 5 | 30.2, 56.8, 45.4, 35.2, 24.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cabo Verde, Cabo Verde, Cabo Verde, Cabo Verde, Cabo Verde |
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 | CV, CV, CV, CV, CV |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 48.713, 49.419, 50.239, 51.145, 52.089 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 26% | 37 | 22.0, 21.4, 20.9, 20.5, 20.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 172.3, 169.2, 165.6, 162.3, 158.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 420.0, 394.0, 366.0, 346.0, 322.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.885, 6.922, 6.953, 6.976, 6.989 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.926, 47.176, 46.515, 45.365, 44.301 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 18.891, 18.129, 17.368, 16.639, 15.926 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 64% | 23 | 0.077, 0.082, 0.176, 0.2, 0.329 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 70% | 17 | 1.40820002555847, 2.1868999004364, 1.59769999980927,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 16 | 23.0, 31.0, 39.0, 54.0, 92.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.86025023, 3.69652915, 3.72489762, 3.6274426, 3.54616308 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cabo Verde, Cabo Verde, Cabo Verde, Cabo Verde, Cabo Verde |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Cabo Verde |
admin_code |
Admin code | string | SEL | 0% | 1 | 57358268B98382630831735 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 4063.4772 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 571030 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 140.53 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV, CPV, CPV, CPV, CPV |
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% | 22 | Praia, São Vicente, Santa Catarina, Santa Cruz, Sal |
admin_code |
Admin code | string | SEL | 0% | 22 | 35879248B53857372811673, 35879248B41743840760019,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 22 | 99.5952, 224.6296, 239.7391, 110.8008, 220.3419 |
pop_2024 |
Population count | integer | SEL | 0% | 22 | 172547, 90398, 51663, 29422, 26816 |
pop_density_2024 |
Population density | float | SEL | 0% | 22 | 1732.48, 402.43, 215.5, 265.54, 121.7 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV, CPV |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality |
admin_name |
Admin name | string | SEL | 0% | 2 | Mindelo, João Teves |
admin_code |
Admin code | integer | SEL | 0% | 2 | 38, 219 |
area_sqkm |
Area sqkm | float | SEL | 0% | 2 | 17.8998, 23.8609 |
pop_2024 |
Population count | integer | SEL | 0% | 2 | 77843, 6817 |
pop_density_2024 |
Population density | float | SEL | 0% | 2 | 4348.82, 285.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 2 | 88274, 161477 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 2 | 0.882, 0.042 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | CV |
region_name |
Region name | string | SEL | 0% | 1 | Cabo Verde |
F_TL |
Female population | integer | SEL | 0% | 1 | 280362 |
M_TL |
Male population | integer | SEL | 0% | 1 | 289150 |
T_TL |
Total population | integer | SEL | 0% | 1 | 569523 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2022 |
year |
year | integer | 0% | 1 | 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 25262 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 25359 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 24532 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 23498 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 21749 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 24670 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 25924 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 22422 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 17165 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 13738 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 12504 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 12390 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 9907 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 7236 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 3912 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 2797 |
F_80_84 |
Female population age 80-84 | integer | 0% | 1 | 2815 |
F_85_89 |
Female population age 85-89 | integer | 0% | 1 | 2492 |
F_90_94 |
Female population age 90-94 | integer | 0% | 1 | 1338 |
F_95Plus |
F_95Plus | integer | 0% | 1 | 652 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 26470 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 26577 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 24923 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 23722 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 23195 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 26824 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 29509 |
| +33 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% | 22 | CV01, CV02, CV03, CV04, CV05 |
region_name |
Region name | string | SEL | 0% | 22 | Boa Vista, Brava, Maio, Mosteiros, Paúl |
F_TL |
Female population | integer | SEL | 0% | 22 | 9046, 2701, 3880, 4828, 2099 |
M_TL |
Male population | integer | SEL | 0% | 22 | 12985, 2588, 4146, 4376, 3043 |
T_TL |
Total population | integer | SEL | 0% | 22 | 22034, 5288, 8024, 9202, 5147 |
| 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 | 2022, 2022, 2022, 2022, 2022 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
ISL_PT |
ISL_PT | string | 0% | 9 | Boa Vista, Brava, Maio, Fogo, Santo Antão |
ISL_PCODE |
ISL_PCODE | string | 0% | 9 | CV1, CV2, CV4, CV3, CV7 |
F_00_04 |
Female population age 0-4 | integer | 0% | 22 | 918, 221, 301, 452, 150 |
F_05_09 |
Female population age 5-9 | integer | 0% | 22 | 931, 257, 300, 452, 207 |
F_10_14 |
Female population age 10-14 | integer | 0% | 22 | 806, 280, 311, 433, 257 |
F_15_19 |
Female population age 15-19 | integer | 0% | 22 | 681, 217, 302, 476, 190 |
F_20_24 |
Female population age 20-24 | integer | 0% | 21 | 677, 145, 240, 395, 82 |
F_25_29 |
Female population age 25-29 | integer | 0% | 21 | 940, 152, 250, 445, 77 |
F_30_34 |
Female population age 30-34 | integer | 0% | 22 | 1071, 203, 270, 403, 114 |
F_35_39 |
Female population age 35-39 | integer | 0% | 22 | 956, 200, 329, 334, 128 |
F_40_44 |
Female population age 40-44 | integer | 0% | 22 | 642, 247, 270, 260, 124 |
F_45_49 |
Female population age 45-49 | integer | 0% | 22 | 394, 162, 221, 208, 144 |
F_50_54 |
Female population age 50-54 | integer | 0% | 22 | 272, 133, 240, 163, 128 |
F_55_59 |
Female population age 55-59 | integer | 0% | 21 | 240, 136, 239, 204, 134 |
F_60_64 |
Female population age 60-64 | integer | 0% | 22 | 143, 111, 201, 184, 94 |
F_65_69 |
Female population age 65-69 | integer | 0% | 22 | 119, 71, 145, 156, 51 |
F_70_74 |
Female population age 70-74 | integer | 0% | 22 | 74, 37, 89, 88, 43 |
F_75_79 |
Female population age 75-79 | integer | 0% | 21 | 54, 37, 51, 55, 51 |
F_80_84 |
Female population age 80-84 | integer | 0% | 22 | 47, 30, 53, 42, 56 |
F_85_89 |
Female population age 85-89 | integer | 0% | 21 | 50, 36, 38, 30, 46 |
F_90_94 |
Female population age 90-94 | integer | 0% | 20 | 24, 16, 18, 26, 18 |
F_95Plus |
F_95Plus | integer | 0% | 18 | 7, 10, 12, 22, 5 |
M_00_04 |
Male population age 0-4 | integer | 0% | 22 | 993, 226, 293, 436, 170 |
M_05_09 |
Male population age 5-9 | integer | 0% | 22 | 998, 259, 302, 442, 249 |
M_10_14 |
Male population age 10-14 | integer | 0% | 22 | 821, 258, 345, 493, 292 |
M_15_19 |
Male population age 15-19 | integer | 0% | 22 | 645, 263, 328, 463, 250 |
M_20_24 |
Male population age 20-24 | integer | 0% | 22 | 769, 145, 280, 332, 184 |
| +35 more pending fields — download the CSV/Parquet to see them all. | |||||
| 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 | 12.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 112.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .cv |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 74.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 7.0 |
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
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 | 60,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 60000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 590,354 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 590354.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 112 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-run TV and radio network, plus a growing number of... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2019.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 74% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 38,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 38000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 7 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.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 | 9900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 2.768 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 35.2 |
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
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 | stable, middle-income, developing island economy; strong... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $5.2 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 | 5.2 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $4.848 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 | 4.848 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $4.6 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 | 4.6 |
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 | 7.3% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 7.3 |
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 | 15.8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 15.8 |
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 | $9,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $9,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 9300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $8,900 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 8900.0 |
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 | $2.768 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 3.7% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 3.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 4.7% (2024 est.) |
| +117 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 | 97.1 |
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
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 | 97.1% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 95.3% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 95.3 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 96.9% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 96.9 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 200,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 200000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 400 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 400.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 106 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 106.0 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 71.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 71.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 14.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 14.2 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 14.6% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 14.6 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 5,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 5000.0 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 19.999 million Btu/person (2023 est.) |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric | float | 0% | 1 | 19.999 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 19.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 68.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.83 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 132600.0 |
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
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 | deforestation due to demand for firewood; water... |
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 | temperate; warm, dry summer; precipitation meager and erratic |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 19.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 12.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 12.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 6.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 6.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 68% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 68.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 68% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.83% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 714,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 714000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 714,000 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 | 714000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 27.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 27.4 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 132,600 tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 17.4% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 17.4 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 155.895 million cubic meters (2022) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 155.895 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 5.614 million cubic meters (2022) |
total_water_withdrawal_industrial_numeric |
total_water_withdrawal_industrial_numeric | float | 0% | 1 | 5.614 |
total_water_withdrawal_agricultural_text |
total_water_withdrawal_agricultural_text | string | 0% | 1 | 103.217 million cubic meters (2022) |
| +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 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
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 | Cabo Verdean(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Cabo Verdean |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Creole (Mulatto) 71%, African 28%, European 1% |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 71.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 4033.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 4033.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 965.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2829.0 |
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 | 19.6 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 35.0 |
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Western Africa, group of islands in the North Atlantic... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 16 00 N, 24 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 16.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 4,033 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 4,033 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 0 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than Rhode Island |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 965 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_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
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 |
maritime_claims_note |
maritime_claims_note | string | 0% | 1 | note: measured from claimed archipelagic baselines |
climate_text |
climate_text | string | 0% | 1 | temperate; warm, dry summer; precipitation meager and erratic |
terrain_text |
terrain_text | string | 0% | 1 | steep, rugged, rocky, volcanic |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mt. Fogo (a volcano on Fogo Island) 2,829 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic Ocean 0 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | salt, basalt rock, limestone, kaolin, fish, clay, gypsum |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 19.6% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 12.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 12.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 6.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 6.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.4% (2023 est.) |
| +10 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV |
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 Cabo Verde |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Cabo Verde |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republica de Cabo Verde |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Cabo Verde |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name derives from the Cape Verde (Green Cape)... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Praia |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 14 55 N, 23 31 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 14.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-1 (4 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the earlier Portuguese name was Villa de Praia ("Village... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1974.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 22 municipalities (concelhos, singular - concelho); Boa... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 22.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system of Portugal |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1981; latest effective 25 September 1992 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1981.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposals require support of at least four fifths of the... |
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 Cabo Verde |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
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 Jose Maria Pereira NEVES (since 9 November 2021) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 9.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Jose Ulisses CORREIA e SILVA (since 22 April 2016) |
| +75 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The Portuguese discovered and colonized the uninhabited... |
background_numeric |
background_numeric | float | 0% | 1 | 15.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Portuguese (official), Crioulo (a Portuguese-based... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 115 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 115.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Cabo Verde did not demonstrate... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
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 | Cabo Verdean Armed Forces (FACV): National Guard (GN),... |
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 | 0.6% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.6 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.6% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.6 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.5% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.5 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | the FACV has approximately 1,000-1,500 active personnel (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 1000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FACV has a limited amount of mostly dated or... |
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 | 17 years of age for voluntary service (with parental... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 17.0 |
military_note_text |
military_note_text | string | 0% | 1 | the FACV is responsible for external defense; it also... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 611014.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 297106.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 313908.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 26.4 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 67.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 6.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 48.8 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 39.2 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 9.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 29.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.12 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 17.51 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.73 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.56 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 68.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.83 |
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 | 0.95 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 40.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 21.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 74.3 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.08 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.02 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.73 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.0 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 88.5 |
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
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 | 611,014 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 297,106 |
population_female_text |
population_female_text | string | 0% | 1 | 313,908 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 26.4% (male 80,973/female 80,129) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 67.2% (male 201,084/female 209,676) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 6.4% (2024 est.) (male 15,049/female 24,103) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 48.8 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 39.2 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 9.5 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 10.5 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 10.5 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 29.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 27.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 27.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 29.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 29.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.12% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 17.51 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.73 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.56 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | among the nine inhabited islands, population... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 68% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.83% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 168,000 PRAIA (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 168000.0 |
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 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.96 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.96 |
| +91 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 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 1.3 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.2 |
composition_ethnicity_primary_label_synth |
Creole (Mulatto) | string | CCL | 0% | - | Creole (Mulatto) |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 72.5%, Protestant 4% (includes Adventist... |
religions_numeric |
religions_numeric | float | 0% | 1 | 72.5 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 72.5 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 4.0 |
composition_religion_christian_rationalism_pct_synth |
Christian Rationalism | numeric | 0% | - | 1.7 |
composition_religion_jehovah_s_witness_pct_synth |
Jehovah's Witness | numeric | 0% | - | 1.2 |
composition_religion_church_of_jesus_christ_pct_synth |
Church of Jesus Christ | numeric | 0% | - | 1.0 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 1.3 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 15.6 |
composition_religion_no_response_pct_synth |
no response | numeric | 0% | - | 0.4 |
composition_ethnicity_creole_mulatto_pct_synth |
Creole (Mulatto) | numeric | 0% | - | 71.0 |
composition_ethnicity_african_pct_synth |
African | numeric | 0% | - | 28.0 |
composition_ethnicity_european_pct_synth |
European | numeric | 0% | - | 1.0 |
composition_ethnicity_primary_share_pct_synth |
Creole (Mulatto) | numeric | 0% | - | 71.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | D4 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 10.0 |
country_code |
Country code | string | SEL | 0% | 1 | CPV |
country_name |
Country name | string | SEL | 0% | 1 | Cabo Verde |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 4.0 |
airports_text |
airports_text | string | 0% | 1 | 10 (2025) |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 44 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 44.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 14, oil tanker 2, other 28 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 14.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 2 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 2.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 1 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 1.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Porto da Praia, Porto Grande |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CPV |
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 | CPV |
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 | CPV |
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 | CPV |
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 | CPV |
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 | CPV, CPV, CPV |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | por, eng, spa |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | Portuguese, English, Spanish |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 1153, 164, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 87.481, 12.4431, 0.0759 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 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, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CPV |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Cabo Verde |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.947 |
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 | 7548 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 7132 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 7544 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 4 |
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_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 59 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 28 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 2870 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 2736 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 2094 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1923 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 1608 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1535 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 180 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 177 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 734 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 730 |
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 | 1 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 2 | João Teves, Mindelo |
country_code |
Country code | string | SEL | 0% | 1 | CPV, CPV |
population |
Population count | integer | SEL | 0% | 2 | 161477, 88274 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 2 | 219, 38 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Cabo Verde, Cabo Verde |
population_year |
population_year | integer | 0% | 1 | 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 | CPV |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Cape Verdeans |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 1 | IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 1 | 1.0 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 1 | 40201000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021 |
group_relevance |
group_relevance | string | 0% | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 1 | kabu1256 |
name |
Name | string | CCL | 0% | 1 | Kabuverdianu |
iso639_3 |
Iso639 3 | string | CCL | 0% | 1 | kea |
level |
Level | string | CCL | 0% | 1 | language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 1 | indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 1 | uppe1458 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 1 | ['CV'] |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 1 | 3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 1 | 15.0586 |
longitude |
longitude | float | 0% | 1 | -23.6148 |
classification |
classification | string | 0% | 1 | [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | CPV |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | float | 0% | 1 | 6.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 148 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 3 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 2.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 2.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 76 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 39 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 7.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 7 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 6.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 126 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.38 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 3.88 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 161 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 3.97 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.7 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 3.6 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 120 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Portuguese (por) | 1,153 | 87.5% | — |
| English (eng) | 164 | 12.4% | — |
| Spanish (spa) | 1 | 0.1% | — |
7,132 distinct features ·
3 languages ·
0 scripts ·
4 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 |
| Afrobarometer | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| Ethnic Power Relations Dataset | 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.