ⓘ 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 | EGY, EGY, EGY, EGY, EGY |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 23 | Total, Alexandria, Assuit, Aswan, Behera |
human_development_index |
Human development index | float | SEL | 0% | 87 | 0.605, 0.669, 0.518, 0.586, 0.57 |
health_index |
Health index | float | SEL | 0% | 87 | 0.654, 0.723, 0.585, 0.617, 0.673 |
education_index |
Education index | float | SEL | 0% | 88 | 0.511, 0.578, 0.394, 0.478, 0.428 |
income_index |
Income index | float | SEL | 0% | 76 | 0.661, 0.718, 0.601, 0.682, 0.641 |
life_expectancy |
Life expectancy | float | SEL | 0% | 100 | 62.51, 66.99, 58.04, 60.11, 63.78 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 7.672, 9.227, 5.22, 6.261, 5.904 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 5 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Egypt |
admin_code |
Admin code | string | SEL | 0% | 1 | 61154384B95693638953194 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1000009.995 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 111056920 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 111.06 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY, EGY, EGY, EGY, EGY |
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% | 27 | Giza Governorate, Cairo Governorate, Dakahlia... |
admin_code |
Admin code | string | SEL | 0% | 27 | 46179711B67626682469511, 46179711B66630674459803,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 27 | 38184.983, 3001.8511, 4272.4004, 4795.1584, 1178.0117 |
pop_2024 |
Population count | integer | SEL | 0% | 27 | 9997273, 9927501, 7884693, 7863541, 7418775 |
pop_density_2024 |
Population density | float | SEL | 0% | 27 | 261.81, 3307.13, 1845.49, 1639.89, 6297.71 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY, EGY, EGY, EGY, EGY |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | Cairo, Alexandria, Banha, El Mansura, Luxor |
admin_code |
Admin code | integer | SEL | 0% | 100 | 4605, 291, 4305, 5167, 7222 |
area_sqkm |
Area sqkm | float | SEL | 0% | 100 | 1674.377, 437.6311, 335.897, 197.3761, 322.6413 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 21921208, 5644150, 1454439, 1416481, 1080514 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 13092.16, 12897.05, 4330.01, 7176.56, 3348.96 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 25230325, 6931369, 1876792, 1707877, 6314420 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 93 | 0.869, 0.814, 0.775, 0.829, 0.171 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 100 | Cairo, Alexandria, Luxor, Banha, El Mansura |
country_code |
Country code | string | SEL | 0% | 1 | EGY, EGY, EGY, EGY, EGY |
population |
Population count | integer | SEL | 0% | 100 | 25230325, 6931369, 6314420, 1876792, 1707877 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 4605, 291, 7222, 4305, 5167 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Egypt, Egypt, Egypt, Egypt, Egypt |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EG, EG, EG, EG, EG |
population_count |
Population count | float | SEL | 2% | 65 | 26896479.0, 27600898.0, 28337013.0, 29091869.0, 29858922.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 44.436, 45.146, 45.844, 46.493, 47.075 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 156.387397481519, 162.841644181754, 142.409576739705,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 83% | 11 | 38.2000007629395, 44.4199981689453, 55.5900001525879,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 319.5, 309.2, 299.0, 289.0, 279.8 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 27.8, 32.5, 33.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Egypt, Arab Rep., Egypt, Arab Rep., Egypt, Arab Rep.,... |
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 | EG, EG, EG, EG, EG |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 44.436, 45.146, 45.844, 46.493, 47.075 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 63 | 66.5, 65.4, 64.3, 63.2, 62.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 319.5, 309.2, 299.0, 289.0, 279.8 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 141.0, 135.0, 128.0, 121.0, 114.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 6.793, 6.758, 6.709, 6.648, 6.541 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.465, 46.754, 46.018, 45.396, 44.545 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 21.982, 21.276, 20.605, 20.001, 19.44 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 82% | 11 | 0.391, 0.435, 0.527, 0.536, 0.494 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 46% | 30 | 2.14697933197021, 2.18050003051758, 2.03660011291504,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 19 | 57.0, 57.0, 57.0, 57.0, 69.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.92244291, 5.40030336, 5.5107379, 5.2242527, 4.85732365 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Egypt, Arab Rep., Egypt, Arab Rep., Egypt, Arab Rep.,... |
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 | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 38 | 39.0, 47.1, 55.7, 61.5, 72.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Egypt, Egypt, Egypt, Egypt, Egypt |
survey_year |
survey_year | integer | 0% | 5 | 2000, 2003, 2005, 2008, 2014 |
region |
region | string | 0% | 9 | ..Lower Egypt - rural, ..Lower Egypt - rural, ..Lower... |
survey_id |
survey_id | string | 0% | 5 | EG2000DHS, EG2003DHS, EG2005DHS, EG2008DHS, EG2014DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 43 | 84.0, 73.0, 68.0, 47.0, 44.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 47 | 130.0, 99.0, 90.0, 61.0, 52.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 55 | 34.5, 71.7, 78.5, 92.5, 87.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Egypt, Egypt, Egypt, Egypt, Egypt |
survey_year |
survey_year | integer | 0% | 8 | 1988, 1992, 1995, 2000, 2003 |
region |
region | string | 0% | 9 | ..Lower Egypt - rural, ..Lower Egypt - rural, ..Lower... |
survey_id |
survey_id | string | 0% | 8 | EG1988DHS, EG1992DHS, EG1995DHS, EG2000DHS, EG2003DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EG, EG, EG, EG, EG |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | EGY, EGY, EGY, EGY, EGY |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 27 | 6.77, -2.88, 14.17, 8.95, -21.0 |
grocery |
grocery | float | 0% | 26 | 94.94, 52.99, 91.93, 109.19, 32.92 |
parks |
parks | float | 0% | 25 | 99.26, 46.75, 68.67, -3.22, -3.44 |
transit |
transit | float | 0% | 23 | 110.45, -5.0, -22.43, 0.38, -26.46 |
workplaces |
workplaces | float | 0% | 27 | 7.28, 2.41, 9.61, -0.37, -1.26 |
residential |
residential | float | 0% | 26 | 2.28, 4.36, -0.69, 0.96, -0.93 |
region |
region | string | 0% | 27 | Al Qalyubia Governorate, Alexandria Governorate, Ash... |
observation_count |
observation_count | integer | 0% | 4 | 974, 974, 974, 974, 974 |
| 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 | 11.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 97.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .eg |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 73.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 12.0 |
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
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 | 13.3 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 13.3 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 11 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 113 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 113.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 97 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | mix of state-run and private broadcast media; state-run... |
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 | 73% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 13.6 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 13.6 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.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 | 16800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 389.06 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 29.7 |
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
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 | Africa’s second-largest economy; 2030 Vision to... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2030.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $1.958 trillion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 1.958 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $1.912 trillion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 1.912 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $1.842 trillion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 1.842 |
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 | 2.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.8% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 6.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 6.6 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $16,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $16,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 16700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $16,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 16400.0 |
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 | $389.06 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 28.3% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 28.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 33.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 33.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 13.9% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 13.9 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +123 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 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
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 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 59.68 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 59.68 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 162.026 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 162.026 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 1.785 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 1.785 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 187 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 187.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 45.67 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 45.67 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 87.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 87.9 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 2.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 2.2 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 2.8% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 2.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 7.0 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.2 |
nuclear_energy_number_of_nuclear_reactors_under_construction_text |
nuclear_energy_number_of_nuclear_reactors_under_construction_text | string | 0% | 1 | 4 (2025) |
nuclear_energy_number_of_nuclear_reactors_under_construction_numeric |
nuclear_energy_number_of_nuclear_reactors_under_construction_numeric | float | 0% | 1 | 4.0 |
coal_production_text |
coal_production_text | string | 0% | 1 | 69,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 69000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 3.262 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 3.262 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 68,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 68000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 3.263 million metric tons (2023 est.) |
| +23 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 4.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 43.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.9 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 21.0 |
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
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 | rapid growth in population straining natural resources;... |
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 | desert; hot, dry summers with moderate winters |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 4.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 3.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 3.1 |
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: 0% (2022 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.0 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 95.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 95.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 43.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.9% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 236.618 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 236.618 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 6.966 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 6.966 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 114.507 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 114.507 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 115.144 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 115.144 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 66.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 66.4 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 690.8 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 690.8 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 548.9 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 548.9 |
| +17 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 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
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 | Egyptian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Egyptian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Egyptian 99.7%, other 0.3% (2006 est.) |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 99.7 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 1001450.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 995450.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 6000.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2612.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 2450.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2629.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -133.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 4.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 36500.0 |
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Northern Africa, bordering the Mediterranean Sea,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 27 00 N, 30 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 27.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 1,001,450 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 995,450 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 6,000 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | more than eight times the size of Ohio; slightly more... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,612 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Gaza Strip 13 km; Israel 208 km; Libya 1,115 km; Sudan 1,276 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 13.0 |
coastline_text |
coastline_text | string | 0% | 1 | 2,450 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 or the equidistant median line with Cyprus |
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 |
climate_text |
climate_text | string | 0% | 1 | desert; hot, dry summers with moderate winters |
terrain_text |
terrain_text | string | 0% | 1 | vast desert plateau interrupted by Nile valley and delta |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Catherine 2,629 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Qattara Depression -133 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 321 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 321.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, iron ore, phosphates, manganese,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 4.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 3.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 3.1 |
| +21 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY |
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 | Arab Republic of Egypt |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Egypt |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Jumhuriyat Misr al-Arabiyah |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Misr |
country_name_former_text |
country_name_former_text | string | 0% | 1 | United Arab Republic (short-lived unification with Syria) |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the English name Egypt derives from the ancient Greek... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Cairo |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 30 03 N, 31 15 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 30.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+2 (7 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 2.0 |
capital_daylight_saving_time_text |
capital_daylight_saving_time_text | string | 0% | 1 | +1hr, begins last Friday in April; ends last Friday in October |
capital_daylight_saving_time_numeric |
capital_daylight_saving_time_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the ancient Egyptian name of the original city was... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 969.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 27 governorates (muhafazat, singular - muhafazat); Ad... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 27.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system based on Napoleonic civil and penal law,... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest approved by a constitutional... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 2013.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or by one... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | if the father was born in Egypt |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | only with prior permission from the government |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal and compulsory |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +94 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 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The regularity and richness of the annual Nile River... |
background_numeric |
background_numeric | float | 0% | 1 | 3200.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Arabic (official); English and French widely understood... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، أفضل مصدر للمعلومات الأساسية... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 876,962 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 876962.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 5 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 5.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
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 | Egyptian Armed Forces (EAF): Army (includes Republican... |
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 | 0.7% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 450,000 active Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 450000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the EAF's inventory is comprised of a mix of... |
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 | voluntary enlistment possible from age 16 for men and 17... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 16.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 775 (plus nearly 200 police) Central African Republic... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 775.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Egyptian Armed Forces (EAF) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2011.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 112870457.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 57960635.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 54909822.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 33.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 60.6 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 5.6 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 63.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 54.2 |
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 | 24.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.4 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 18.63 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.33 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.27 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 43.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.9 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.06 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 17.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 16.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 75.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.53 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.23 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.67 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.1 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 79.5 |
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
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 | 112,870,457 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 57,960,635 |
population_female_text |
population_female_text | string | 0% | 1 | 54,909,822 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 33.8% (male 19,349,395/female 18,243,571) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 60.6% (male 34,646,369/female 32,792,151) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 5.6% (2024 est.) (male 3,146,720/female 3,069,042) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 63.7 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 54.2 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 9.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 10.5 (2025 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 | 24.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 24.3 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 24.3 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 24.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 24.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.4% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 18.63 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.33 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.27 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | approximately 95% of the population lives within 20 km... |
population_distribution_numeric |
population_distribution_numeric | float | 0% | 1 | 95.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 43.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.9% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 22.183 million CAIRO (capital), 5.588 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 22.183 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 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 | 1.06 male(s)/female |
| +92 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 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_ethnicity_primary_label_synth |
Egyptian | string | CCL | 0% | - | Egyptian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim (predominantly Sunni) 90%, Christian (majority... |
religions_numeric |
religions_numeric | float | 0% | 1 | 90.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_muslim_predominantly_sunni_pct_synth |
Muslim (predominantly Sunni) | numeric | 0% | - | 90.0 |
composition_religion_christian_majority_coptic_orthodox_other_christians_include_armenian_apostolic_catholic_maronite_orthodox_and_anglican_pct_synth |
Christian (majority Coptic Orthodox, other Christians include Armenian Apostolic, Catholic, Maronite, Orthodox, and Anglican) | numeric | 0% | - | 10.0 |
composition_ethnicity_egyptian_pct_synth |
Egyptian | numeric | 0% | - | 99.7 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.3 |
composition_ethnicity_primary_share_pct_synth |
Egyptian | numeric | 0% | - | 99.7 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Egyptian Space Agency (EgSA; established 2019); National... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2019.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a growing space program and seeks to become a... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1960 - initiated a space program1998 - first... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1960.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Army of Islam; Harakat Sawa'd Misr (HASM); Islamic State... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | SU |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 73.0 |
country_code |
Country code | string | SEL | 0% | 1 | EGY |
country_name |
Country name | string | SEL | 0% | 1 | Egypt |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 73 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 60 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 60.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 5,085 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 5085.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 5,085 km (2014) 1.435-m gauge (62 km electrified) |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 5085.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 441 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 441.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 14, container ship 6, general cargo 23, oil... |
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 | 31 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 31.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 5 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 5.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 8 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 8.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 16 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 16.0 |
ports_size_unknown_text |
ports_size_unknown_text | float | 0% | 1 | 1 |
ports_size_unknown_numeric |
ports_size_unknown_numeric | float | 0% | 1 | 1.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 17 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 17.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Ain Sukhna Terminal, Al Iskandariyh (Alexandria), As... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/eg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 15 | beja1238, copt1239, doma1258, east2690, egyp1238 |
name |
Name | string | CCL | 0% | 15 | Beja, Coptic, Domari, Eastern Egyptian Bedawi Arabic,... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 15 | bej, cop, rmt, avl, esl |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 4 | afro1255, afro1255, indo1319, afro1255, sign1238 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 13 | cush1243, egyp1245, indo1322, egyp1251, arab1398 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 10 | ['EG', 'ER', 'SD'], ['EG'], ['EG', 'IL', 'JO', 'PS',... |
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% | 9 | 6, 9, 9, 4, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 15 | 17.2436, 29.472, 32.0, 29.6742, 29.567 |
longitude |
longitude | float | 0% | 15 | 36.6666, 31.2053, 35.0, 33.6113, 29.654 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY, EGY, EGY, EGY, EGY |
society_id |
Society id | string | CCL | 0% | 7 | Ca34, Cc3, Cd1, Cd18, Cd2 |
society_name |
Society name | string | CCL | 0% | 7 | Ababda, Siwans, Barabra, Saadi, Egyptians |
language_glottocode |
Language glottocode | string | CCL | 0% | 7 | abab1239, siwi1239, kenu1236, said1239, egyp1253 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 5 | EA001:0; EA002:1; EA003:0; EA004:8; EA005:1, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 6 | EA006:1; EA007:8; EA008:2; EA009:2; EA010:9, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 7 | EA028:2; EA029:6; EA030:1; EA031:1; EA032:2, EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 6 | EA033:2; EA034:4; EA035:NA, EA033:2; EA034:4; EA035:4,... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:4; EA112:8, EA034:4; EA112:4, EA034:4; EA112:8,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Egypt, Egypt, Egypt, Egypt, Egypt |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 5 | 24.0, 29.0, 23.0, 30.0, 25.0 |
longitude |
longitude | float | 0% | 5 | 34.0, 26.0, 33.0, 28.0, 33.0 |
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 | EGY, EGY, EGY |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | ara, eng, heb |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | Arabic, English, Hebrew |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 48833, 240, 124 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 99.2601, 0.4878, 0.252 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 22441, 0, 58 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Arab, , Hebr |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Arabic, , Hebrew |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 0, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | EGY |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Egypt |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9256 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 22581 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 90045 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 32528 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 89978 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 67 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 12736 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 4702 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 22303 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 8089 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 224 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 88 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 33734 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 12005 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 17174 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 6337 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1012 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 185 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 2116 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 864 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 745 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 257 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 1 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EGY, EGY |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Arab Muslims, Coptic Christians |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | MONOPOLY, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.91, 0.09 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 65101000, 65102000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021 |
group_relevance |
group_relevance | 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 | EGY |
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 | 75 |
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 | 6 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | float | 0% | 1 | 4.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 42 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 6 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 7 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 7.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | float | 0% | 1 | 6.5 |
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 | integer | 0% | 1 | 2 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 1.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 88 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | integer | 0% | 1 | 5 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 5.38 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 5.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 83 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.1 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.95 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 4.65 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 74 |
| +103 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 | EGY |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. 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 |
|---|---|---|---|
| Arabic (ara) | 48,833 | 99.3% | Arabic |
| English (eng) | 240 | 0.5% | — |
| Hebrew (heb) | 124 | 0.3% | Hebrew |
32,528 distinct features ·
3 languages ·
2 scripts ·
22,581 names in non-Roman script ·
67 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.