| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 1 | SB |
region_name |
Region Name | string | SEL | 0% | 1 | Solomon Islands |
population_count |
Population Count | integer | SEL | 0% | 1 | 504985 |
households |
Households | integer | SEL | 0% | 1 | 91251 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin Level | string | 0% | 1 | admin_0 |
year |
Year | integer | 0% | 1 | 2009 |
avg_household_size |
Avg Household Size | float | 0% | 1 | 5.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 10 | SB-10, SB-5, SB-9, SB-6, SB-4 |
region_name |
Region Name | string | SEL | 0% | 10 | Honiara, Rennell-Bell, Temotu, Guadalcanal, Central |
population_count |
Population Count | integer | SEL | 0% | 10 | 62960, 3006, 21104, 91919, 25809 |
households |
Households | integer | SEL | 0% | 10 | 8981, 688, 4303, 17163, 4905 |
| 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 |
Year | integer | 0% | 1 | 2009, 2009, 2009, 2009, 2009 |
avg_household_size |
Avg Household Size | float | 0% | 7 | 7, 4.4, 4.9, 5.4, 5.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | SB |
region_name |
Region name | string | SEL | 0% | 1 | Solomon Islands |
F_TL |
Female population | integer | SEL | 0% | 1 | 377565 |
M_TL |
Male population | integer | SEL | 0% | 1 | 391136 |
T_TL |
Total population | integer | SEL | 0% | 1 | 768701 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 42981 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 42858 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 43284 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 42591 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 36630 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 28665 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 25616 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 24199 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 21367 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 18410 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 15379 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 11268 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 8364 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 5825 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 4601 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 2661 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 2866 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 44911 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 44848 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 44352 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 43284 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 37692 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 30847 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 26467 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 25585 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 22028 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 18868 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 10 | SB04, SB01, SB06, SB10, SB03 |
region_name |
Region name | string | SEL | 0% | 10 | Central, Choiseul, Guadalcanal, Honiara, Isabel |
F_TL |
Female population | integer | SEL | 0% | 10 | 15843, 16016, 80608, 67406, 15891 |
M_TL |
Male population | integer | SEL | 0% | 10 | 16474, 16790, 83625, 70737, 17612 |
T_TL |
Total population | integer | SEL | 0% | 10 | 32317, 32806, 164233, 138143, 33503 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 10 | 1740, 2095, 9586, 6167, 1789 |
F_05_09 |
Female population age 5-9 | integer | 0% | 10 | 1933, 1967, 9299, 5911, 1805 |
F_10_14 |
Female population age 10-14 | integer | 0% | 10 | 1963, 1927, 9333, 5822, 1901 |
F_15_19 |
Female population age 15-19 | integer | 0% | 10 | 1725, 1620, 9233, 7901, 1686 |
F_20_24 |
Female population age 20-24 | integer | 0% | 10 | 1224, 1193, 8600, 9463, 1184 |
F_25_29 |
Female population age 25-29 | integer | 0% | 10 | 1139, 1119, 6639, 6740, 1044 |
F_30_34 |
Female population age 30-34 | integer | 0% | 10 | 1023, 963, 5626, 5609, 1001 |
F_35_39 |
Female population age 35-39 | integer | 0% | 10 | 1019, 959, 5018, 4941, 1014 |
F_40_44 |
Female population age 40-44 | integer | 0% | 10 | 912, 900, 4446, 4314, 934 |
F_45_49 |
Female population age 45-49 | integer | 0% | 10 | 892, 835, 3600, 3321, 903 |
F_50_54 |
Female population age 50-54 | integer | 0% | 10 | 687, 707, 3126, 2603, 684 |
F_55_59 |
Female population age 55-59 | integer | 0% | 10 | 455, 519, 2051, 1737, 591 |
F_60_64 |
Female population age 60-64 | integer | 0% | 10 | 368, 400, 1370, 1164, 452 |
F_65_69 |
Female population age 65-69 | integer | 0% | 10 | 291, 265, 994, 668, 307 |
F_70_74 |
Female population age 70-74 | integer | 0% | 10 | 218, 245, 801, 505, 248 |
F_75_79 |
Female population age 75-79 | integer | 0% | 10 | 126, 142, 434, 213, 191 |
F_80Plus |
F_80Plus | integer | 0% | 10 | 128, 160, 452, 327, 157 |
M_00_04 |
Male population age 0-4 | integer | 0% | 10 | 1839, 2220, 10188, 6452, 1914 |
M_05_09 |
Male population age 5-9 | integer | 0% | 10 | 2047, 2045, 9631, 5994, 1967 |
M_10_14 |
Male population age 10-14 | integer | 0% | 10 | 1978, 1976, 9442, 5751, 1901 |
M_15_19 |
Male population age 15-19 | integer | 0% | 10 | 1823, 1696, 9255, 7486, 1800 |
M_20_24 |
Male population age 20-24 | integer | 0% | 10 | 1428, 1207, 8659, 9774, 1452 |
M_25_29 |
Male population age 25-29 | integer | 0% | 10 | 1156, 1239, 7078, 7656, 1274 |
M_30_34 |
Male population age 30-34 | integer | 0% | 10 | 1033, 1025, 5885, 6133, 1146 |
M_35_39 |
Male population age 35-39 | integer | 0% | 10 | 988, 1130, 5243, 5292, 1181 |
M_40_44 |
Male population age 40-44 | integer | 0% | 10 | 960, 1006, 4538, 4268, 1176 |
M_45_49 |
Male population age 45-49 | integer | 0% | 10 | 866, 883, 3930, 3551, 1017 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 50 | SB040430, SB040431, SB010103, SB010102, SB010101 |
region_name |
Region name | string | SEL | 0% | 50 | Nggela, Savo-Russull Islands, East Choiseul, North West... |
F_TL |
Female population | integer | SEL | 0% | 50 | 10337, 5506, 3457, 7491, 5068 |
M_TL |
Male population | integer | SEL | 0% | 50 | 10837, 5637, 3757, 7765, 5268 |
T_TL |
Total population | integer | SEL | 0% | 50 | 21174, 11143, 7214, 15256, 10336 |
| 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 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 49 | 1120, 620, 438, 1013, 644 |
F_05_09 |
Female population age 5-9 | integer | 0% | 50 | 1207, 726, 419, 922, 626 |
F_10_14 |
Female population age 10-14 | integer | 0% | 48 | 1234, 729, 393, 957, 577 |
F_15_19 |
Female population age 15-19 | integer | 0% | 49 | 1089, 636, 367, 741, 512 |
F_20_24 |
Female population age 20-24 | integer | 0% | 50 | 828, 396, 271, 568, 354 |
F_25_29 |
Female population age 25-29 | integer | 0% | 49 | 750, 389, 230, 548, 341 |
F_30_34 |
Female population age 30-34 | integer | 0% | 50 | 705, 318, 203, 461, 299 |
F_35_39 |
Female population age 35-39 | integer | 0% | 46 | 652, 367, 216, 448, 295 |
F_40_44 |
Female population age 40-44 | integer | 0% | 49 | 593, 319, 188, 416, 296 |
F_45_49 |
Female population age 45-49 | integer | 0% | 46 | 596, 296, 200, 366, 269 |
F_50_54 |
Female population age 50-54 | integer | 0% | 44 | 452, 235, 149, 336, 222 |
F_55_59 |
Female population age 55-59 | integer | 0% | 48 | 321, 134, 118, 214, 187 |
F_60_64 |
Female population age 60-64 | integer | 0% | 47 | 257, 111, 92, 161, 147 |
F_65_69 |
Female population age 65-69 | integer | 0% | 42 | 207, 84, 60, 109, 96 |
F_70_74 |
Female population age 70-74 | integer | 0% | 40 | 154, 64, 54, 103, 88 |
F_75_79 |
Female population age 75-79 | integer | 0% | 40 | 83, 43, 32, 68, 42 |
F_80Plus |
F_80Plus | integer | 0% | 38 | 89, 39, 27, 60, 73 |
M_00_04 |
Male population age 0-4 | integer | 0% | 50 | 1210, 629, 467, 1104, 649 |
M_05_09 |
Male population age 5-9 | integer | 0% | 49 | 1344, 703, 426, 966, 653 |
M_10_14 |
Male population age 10-14 | integer | 0% | 50 | 1226, 752, 434, 928, 614 |
M_15_19 |
Male population age 15-19 | integer | 0% | 46 | 1179, 644, 374, 776, 546 |
M_20_24 |
Male population age 20-24 | integer | 0% | 50 | 970, 458, 283, 561, 363 |
M_25_29 |
Male population age 25-29 | integer | 0% | 48 | 775, 381, 312, 546, 381 |
M_30_34 |
Male population age 30-34 | integer | 0% | 49 | 698, 335, 221, 495, 309 |
M_35_39 |
Male population age 35-39 | integer | 0% | 48 | 655, 333, 287, 495, 348 |
M_40_44 |
Male population age 40-44 | integer | 0% | 46 | 615, 345, 247, 439, 320 |
M_45_49 |
Male population age 45-49 | integer | 0% | 49 | 578, 288, 203, 401, 279 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | SB0404300403, SB0404300407, SB0404300408, SB0404300401,... |
region_name |
Region name | string | SEL | 0% | 100 | East Gela, North East Gela, North West Gela,... |
F_TL |
Female population | integer | SEL | 0% | 100 | 1283, 1351, 1073, 1907, 988 |
M_TL |
Male population | integer | SEL | 0% | 98 | 1375, 1388, 1090, 2068, 952 |
T_TL |
Total population | integer | SEL | 0% | 98 | 2658, 2739, 2163, 3975, 1940 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
ADM3_NAME_ALT |
ADM3_NAME_ALT | string | 0% | 100 | East Gela, North East Gela, North West Gela,... |
F_00_04 |
Female population age 0-4 | integer | 0% | 85 | 151, 141, 108, 226, 111 |
F_05_09 |
Female population age 5-9 | integer | 0% | 87 | 152, 181, 131, 213, 118 |
F_10_14 |
Female population age 10-14 | integer | 0% | 86 | 135, 169, 108, 221, 107 |
F_15_19 |
Female population age 15-19 | integer | 0% | 88 | 153, 143, 98, 170, 106 |
F_20_24 |
Female population age 20-24 | integer | 0% | 84 | 109, 83, 85, 158, 77 |
F_25_29 |
Female population age 25-29 | integer | 0% | 76 | 104, 81, 75, 147, 75 |
F_30_34 |
Female population age 30-34 | integer | 0% | 80 | 96, 101, 77, 123, 55 |
F_35_39 |
Female population age 35-39 | integer | 0% | 72 | 68, 89, 59, 134, 58 |
F_40_44 |
Female population age 40-44 | integer | 0% | 75 | 63, 71, 56, 104, 58 |
F_45_49 |
Female population age 45-49 | integer | 0% | 76 | 84, 74, 62, 103, 64 |
F_50_54 |
Female population age 50-54 | integer | 0% | 65 | 61, 66, 51, 80, 42 |
F_55_59 |
Female population age 55-59 | integer | 0% | 60 | 25, 32, 51, 68, 37 |
F_60_64 |
Female population age 60-64 | integer | 0% | 55 | 22, 34, 34, 63, 18 |
F_65_69 |
Female population age 65-69 | integer | 0% | 46 | 19, 27, 37, 39, 32 |
F_70_74 |
Female population age 70-74 | integer | 0% | 40 | 21, 22, 22, 21, 20 |
F_75_79 |
Female population age 75-79 | integer | 0% | 31 | 10, 18, 8, 18, 4 |
F_80Plus |
F_80Plus | integer | 0% | 33 | 10, 19, 11, 19, 6 |
M_00_04 |
Male population age 0-4 | integer | 0% | 87 | 156, 173, 138, 236, 102 |
M_05_09 |
Male population age 5-9 | integer | 0% | 87 | 180, 179, 134, 247, 116 |
M_10_14 |
Male population age 10-14 | integer | 0% | 90 | 171, 158, 118, 243, 118 |
M_15_19 |
Male population age 15-19 | integer | 0% | 84 | 144, 162, 116, 235, 93 |
M_20_24 |
Male population age 20-24 | integer | 0% | 88 | 132, 91, 77, 161, 89 |
M_25_29 |
Male population age 25-29 | integer | 0% | 78 | 95, 75, 79, 157, 54 |
M_30_34 |
Male population age 30-34 | integer | 0% | 84 | 88, 110, 76, 127, 53 |
M_35_39 |
Male population age 35-39 | integer | 0% | 75 | 81, 79, 54, 137, 65 |
M_40_44 |
Male population age 40-44 | integer | 0% | 78 | 68, 76, 52, 125, 56 |
| +25 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SB, SB, SB, SB, SB |
population_count |
Population count | float | SEL | 2% | 65 | 139688.0, 142912.0, 146201.0, 149589.0, 153085.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.683, 48.336, 49.037, 49.815, 50.583 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 14% | 57 | 153.450784088184, 166.888037688373, 165.857344778641,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 99% | 1 | 76.5999984741211 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 167.0, 160.1, 153.5, 146.7, 140.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 22.7, 12.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Solomon Islands, Solomon Islands, Solomon Islands,... |
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 | SB, SB, SB, SB, SB |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.683, 48.336, 49.037, 49.815, 50.583 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 34 | 15.2, 14.9, 14.6, 14.2, 13.8 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 167.0, 160.1, 153.5, 146.7, 140.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 30 | 209.0, 226.0, 200.0, 193.0, 188.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 7.065, 7.052, 7.042, 7.034, 7.047 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 46.768, 46.654, 46.547, 46.459, 46.457 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 17.278, 16.866, 16.398, 15.902, 15.446 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 77% | 15 | 0.186, 0.205, 0.135, 0.152, 0.157 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 92% | 5 | 7.33050870895386, 7.34159994125366, 5.68289995193481,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 30 | 46.0, 35.0, 23.0, 27.0, 45.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.82778931, 6.60712814, 10.10627556, 7.07724714, 7.72556639 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Solomon Islands, Solomon Islands, Solomon Islands,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 78 | amba1266, anut1237, area1240, aros1241, asum1237 |
name |
Name | string | CCL | 0% | 78 | Amba (Solomon Islands), Anuta, 'Are'are, Arosi, Asumboa |
iso639_3 |
Iso639 3 | string | CCL | 3% | 76 | utp, aud, alu, aia, aua |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 5% | 6 | aust1307, aust1307, aust1307, aust1307, aust1307 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 5% | 38 | utup1238, nucl1485, sout3198, sanc1243, utup1238 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 3 | ['SB'], ['SB'], ['SB'], ['SB'], ['SB'] |
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% | 6 | 0, 0, 2, 2, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 77 | -11.2958, -11.61, -9.20699, -10.2441, -11.2969 |
longitude |
longitude | float | 0% | 77 | 166.498, 169.85, 161.158, 161.432, 166.499 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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% | - | - |
ⓘ 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 | SLB, SLB, SLB, SLB, SLB |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 1 | Total, Total, Total, Total, Total |
human_development_index |
Human development index | float | SEL | 0% | 24 | 0.587, 0.59, 0.596, 0.599, 0.603 |
health_index |
Health index | float | SEL | 0% | 32 | 0.711, 0.713, 0.715, 0.716, 0.718 |
education_index |
Education index | float | SEL | 0% | 29 | 0.601, 0.602, 0.603, 0.604, 0.605 |
income_index |
Income index | float | SEL | 0% | 23 | 0.475, 0.478, 0.492, 0.498, 0.506 |
life_expectancy |
Life expectancy | float | SEL | 0% | 34 | 66.19, 66.36, 66.47, 66.56, 66.66 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 32 | 9.01, 9.025, 9.04, 9.055, 9.071 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 34 | 1990, 1991, 1992, 1993, 1994 |
level |
level | string | 0% | 1 | national, national, national, national, national |
| 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 | 1.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 62.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sb |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 43.0 |
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 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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 | 7,000 (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 7000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 485,000 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 485000.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 62 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | multi-channel pay-TV is available; Solomon Islands... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 43% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1000.0 |
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 | australia-oceania/bp.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 | 2500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 1.761 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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 | lower middle-income Pacific island economy; natural... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $2.07 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 | 2.07 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $2.019 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 | 2.019 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $1.967 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 | 1.967 |
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 | 2.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.4% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.4 |
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 | $2,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2500.0 |
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 | $1.761 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 5.5% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 5.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | -0.1% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | -0.1 |
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 | 33.8% (2022 est.) |
| +109 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 | 76.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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 | 76% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 79% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 79.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 75.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 75.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 37,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 37000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 91.031 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 91.031 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 19.969 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 19.969 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 90.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 90.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 5.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 5.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.9 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 3.6% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 3.6 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 2,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 2000.0 |
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 | 5.655 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 | 5.655 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 3.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 89.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.57 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 180000.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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; soil erosion; damage to coral reefs |
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 | Comprehensive Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | tropical monsoon; few temperature and weather extremes |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 89.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 6.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 6.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.57% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 318,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 318000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 318,000 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 | 318000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 8.8 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 8.8 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 180,000 tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 6.1% (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 | 6.1 |
total_renewable_water_resources_text |
total_renewable_water_resources_text | string | 0% | 1 | 44.7 billion cubic meters (2022 est.) |
total_renewable_water_resources_numeric |
total_renewable_water_resources_numeric | float | 0% | 1 | 44.7 |
source_section |
source_section | string | 0% | 1 | Environment |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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 | Solomon Islander(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Solomon Islander |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Melanesian 95.3%, Polynesian 3.1%, Micronesian 1.2%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 95.3 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 28896.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 27986.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 910.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 5313.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2335.0 |
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 | 3.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 89.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 0.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Oceania, group of islands in the South Pacific Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 8 00 S, 159 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 8.0 |
map_references_text |
map_references_text | string | 0% | 1 | Oceania |
area_total_text |
area_total_text | string | 0% | 1 | 28,896 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 27,986 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 910 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Maryland |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 5,313 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 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_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 | tropical monsoon; few temperature and weather extremes |
terrain_text |
terrain_text | string | 0% | 1 | mostly rugged mountains with some low coral atolls |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Popomanaseu 2,335 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Pacific Ocean 0 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | fish, forests, gold, bauxite, phosphates, lead, zinc, nickel |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.8% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.8 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 89.9% (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 | SLB |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Solomon Islands |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | none |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Solomon Islands |
country_name_former_text |
country_name_former_text | string | 0% | 1 | British Solomon Islands |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | Spanish explorer Alvaro de MENDANA named the isles in... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1568.0 |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary democracy under a constitutional monarchy;... |
capital_name_text |
capital_name_text | string | 0% | 1 | Honiara |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 9 26 S, 159 57 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 9.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+11 (16 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 11.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name derives from the local term nagho ni ara,... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 9 provinces and 1 city*; Central, Choiseul, Guadalcanal,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 9.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | adopted 31 May 1978, effective 7 July 1978 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 31.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Parliament; passage of... |
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 the Solomon Islands |
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 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 21 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 21.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | King CHARLES III (since 8 September 2022); represented... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 8.0 |
| +62 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 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Settlers from Papua arrived on the Solomon Islands... |
background_numeric |
background_numeric | float | 0% | 1 | 30000.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Melanesian pidgin (lingua franca in much of the... |
languages_numeric |
languages_numeric | float | 0% | 1 | 1.0 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 1,638 (2023 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 1638.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Solomon Islands does not fully meet... |
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 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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 | Ministry of Police, National Security and Correctional... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_note_text |
military_note_text | string | 0% | 1 | in 2017, the Solomon Islands and Australia signed a... |
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 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 738774.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 377067.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 361707.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 30.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 64.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 5.3 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 55.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 46.7 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 8.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 25.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.62 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 21.57 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 3.94 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.47 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.57 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.04 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 123.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 18.6 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 77.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.72 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.33 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.24 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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 | 738,774 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 377,067 |
population_female_text |
population_female_text | string | 0% | 1 | 361,707 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 30.6% (male 114,246/female 108,020) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 64.2% (male 238,708/female 227,636) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 5.3% (2024 est.) (male 18,016/female 20,173) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 55.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 46.7 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 8.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 12 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 12.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 25.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 25 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 25.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 25.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 25.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.62% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 21.57 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 3.94 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.47 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most of the population lives along the coastal regions;... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.57% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 82,000 HONIARA (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 82000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.05 |
| +67 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 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 4.0 |
composition_ethnicity_primary_label_synth |
Melanesian | string | CCL | 0% | - | Melanesian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 73.4% (Church of Melanesia 31.9%, South Sea... |
religions_numeric |
religions_numeric | float | 0% | 1 | 73.4 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 73.4 |
composition_religion_protestant__church_of_melanesia_pct_synth |
Church of Melanesia | numeric | 0% | - | 31.9 |
composition_religion_protestant__south_sea_evangelical_pct_synth |
South Sea Evangelical | numeric | 0% | - | 17.1 |
composition_religion_protestant__seventh_day_adventist_pct_synth |
Seventh Day Adventist | numeric | 0% | - | 11.7 |
composition_religion_protestant__united_church_pct_synth |
United Church | numeric | 0% | - | 10.1 |
composition_religion_protestant__christian_fellowship_church_pct_synth |
Christian Fellowship Church | numeric | 0% | - | 2.5 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 19.6 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 2.9 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.1 |
composition_ethnicity_melanesian_pct_synth |
Melanesian | numeric | 0% | - | 95.3 |
composition_ethnicity_polynesian_pct_synth |
Polynesian | numeric | 0% | - | 3.1 |
composition_ethnicity_micronesian_pct_synth |
Micronesian | numeric | 0% | - | 1.2 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.3 |
composition_ethnicity_primary_share_pct_synth |
Melanesian | numeric | 0% | - | 95.3 |
| 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 | H4 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 36.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
country_name |
Country name | string | SEL | 0% | 1 | Solomon Islands |
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 | 36 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 2 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 2.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 25 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 25.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 8, oil tanker 1, other 16 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 8.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
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 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
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 | 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 | Gizo Harbor, Honiara, Port Noro, Ringgi Cove, Tulaghi, Yandina |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/bp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Solomon Islands |
admin_code |
Admin code | string | SEL | 0% | 1 | 12472743B99117850257981 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 27198.3749 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 454421 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 16.71 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB, SLB, SLB, SLB, SLB |
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 | Malaita, Guadalcanal, Western, Capital Territory... |
admin_code |
Admin code | string | SEL | 0% | 10 | 17018030B28135645457785, 17018030B21058058503942,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 4414.2621, 5316.8532, 5190.7609, 30.3014, 3096.1513 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 122965, 109195, 57260, 57159, 33224 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 27.86, 20.54, 11.03, 1886.35, 10.73 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
admin_level |
Admin level | string | SEL | 0% | 1 | locality |
admin_name |
Admin name | string | SEL | 0% | 1 | Honiara |
admin_code |
Admin code | integer | SEL | 0% | 1 | 189 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 38.753 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 131812 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 3401.34 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 1 | 137201 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 1 | 0.961 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB, SLB, SLB, SLB, SLB |
society_id |
Society id | string | CCL | 0% | 7 | Ig12, Ig18, Ig20, Ig6, Ig8 |
society_name |
Society name | string | CCL | 0% | 7 | Choiseulese, Kwaio, Kaoka, Ulawans, Simboese |
language_glottocode |
Language glottocode | string | CCL | 0% | 7 | vagh1249, kwai1243, long1395, saaa1240, simb1256 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 7 | EA001:1; EA002:1; EA003:1; EA004:1; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 7 | EA006:1; EA007:8; EA008:2; EA009:2; EA010:12, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 4 | EA028:4; EA029:5; EA030:6; EA031:NA; EA032:3, EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 5 | EA033:1; EA034:1; EA035:NA, EA033:NA; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:1; EA112:NA, EA034:NA; EA112:NA, EA034:1;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 7 | EA011:2; EA012:12; EA013:3, EA011:1; EA012:8; EA013:3,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Solomon Islands, Solomon Islands, Solomon Islands,... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 7 | -6.69, -9.0, -9.49, -9.63, -8.0 |
longitude |
longitude | float | 0% | 7 | 156.52, 161.0, 159.82, 161.44, 157.0 |
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 | SLB, SLB |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | spa, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Spanish, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 5, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 83.3333, 16.6667 |
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 | SLB |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Solomon Islands |
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 | 99.9923 |
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 | 12924 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 9151 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 12923 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 1 |
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 | 3800 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 3063 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4417 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2898 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 717 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 660 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3795 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2399 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 34 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 11 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 136 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 110 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 24 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 9 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLB |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Solomon Islanders |
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 | 94001000 |
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 |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 1 | Honiara |
country_code |
Country code | string | SEL | 0% | 1 | SLB |
population |
Population count | integer | SEL | 0% | 1 | 137201 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 1 | 189 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Solomon Islands |
population_year |
population_year | integer | 0% | 1 | 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | SLB |
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 | 122 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 161 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 3 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 3 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 159 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 151 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 2.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 88 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.1 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.75 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 160 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 3.7 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.55 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 143 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 4.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 4.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 129 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 4.4 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 4.15 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 179 |
| +74 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 |
|---|---|---|---|
| Spanish (spa) | 5 | 83.3% | — |
| English (eng) | 1 | 16.7% | — |
9,151 distinct features ·
2 languages ·
0 scripts ·
1 conventional English name
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 |
|---|---|---|
| SPC Pacific Data Hub (Pacific Community) | international_organization | api |
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| 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.