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{
"pan_admin3": {
"path": "base/pan_admin3.geojson",
"description": "Data from base/pan_admin3.geojson",
"semantic_description": "This dataset contains the third-level administrative boundaries (corregimientos) of Panama, including their hierarchical relationships to districts and provinces. It provides nationwide coverage of 594 territorial units, making it essential for localized demographic analysis, regional planning, and mapping public service distribution.",
"tags": [
"administrative",
"government",
"geographic",
"spatial",
"boundaries"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"adm3_name",
"adm3_name1",
"adm3_name2",
"adm3_name3",
"adm3_pcode",
"adm2_name",
"adm2_name1",
"adm2_name2",
"adm2_name3",
"adm2_pcode",
"adm1_name",
"adm1_name1",
"adm1_name2",
"adm1_name3",
"adm1_pcode",
"adm0_name",
"adm0_name1",
"adm0_name2",
"adm0_name3",
"adm0_pcode",
"valid_on",
"valid_to",
"area_sqkm",
"version",
"lang",
"lang1",
"lang2",
"lang3",
"adm3_ref_name",
"center_lat",
"center_lon",
"geom"
],
"row_count": 594,
"category": "base",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:16.691836",
"last_enriched": "2026-01-09T16:36:08.469629"
},
"pan_adminpoints": {
"path": "base/pan_adminpoints.geojson",
"description": "Data from base/pan_adminpoints.geojson",
"semantic_description": "This dataset provides point locations for administrative centers across Panama, covering hierarchical levels from the national capital down to sub-district seats. It includes geographic coordinates and standardized naming conventions, making it a foundational tool for territorial planning and administrative spatial analysis.",
"tags": [
"administrative",
"points-of-interest",
"amenities",
"government",
"spatial",
"boundaries"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"admin_level",
"name",
"name1",
"name2",
"name3",
"x_coord",
"y_coord",
"adm4_name",
"adm4_name1",
"adm4_name2",
"adm4_name3",
"adm4_pcode",
"adm3_name",
"adm3_name1",
"adm3_name2",
"adm3_name3",
"adm3_pcode",
"adm2_name",
"adm2_name1",
"adm2_name2",
"adm2_name3",
"adm2_pcode",
"adm1_name",
"adm1_name1",
"adm1_name2",
"adm1_name3",
"adm1_pcode",
"adm0_name",
"adm0_name1",
"adm0_name2",
"adm0_name3",
"adm0_pcode",
"valid_on",
"valid_to",
"version",
"lang",
"lang1",
"lang2",
"lang3",
"geom"
],
"row_count": 684,
"category": "base",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:16.764000",
"last_enriched": "2026-01-09T16:36:12.240069"
},
"pan_admin2": {
"path": "base/pan_admin2.geojson",
"description": "Data from base/pan_admin2.geojson",
"semantic_description": "This dataset comprises the second-level administrative boundaries for Panama, specifically representing the country's 76 districts. It includes standardized names and hierarchical P-codes for districts, provinces, and the national level to ensure data interoperability. This base layer is primarily used for administrative mapping, regional statistical analysis, and territorial planning.",
"tags": [
"administrative",
"government",
"geographic",
"spatial",
"boundaries"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"adm2_name",
"adm2_name1",
"adm2_name2",
"adm2_name3",
"adm2_pcode",
"adm1_name",
"adm1_name1",
"adm1_name2",
"adm1_name3",
"adm1_pcode",
"adm0_name",
"adm0_name1",
"adm0_name2",
"adm0_name3",
"adm0_pcode",
"valid_on",
"valid_to",
"area_sqkm",
"version",
"lang",
"lang1",
"lang2",
"lang3",
"adm2_ref_name",
"center_lat",
"center_lon",
"geom"
],
"row_count": 76,
"category": "base",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:17.560205",
"last_enriched": "2026-01-09T16:36:16.456717"
},
"pan_admin0": {
"path": "base/pan_admin0.geojson",
"description": "Data from base/pan_admin0.geojson",
"semantic_description": "This dataset defines the national boundary of Panama, representing the country's primary administrative level (ADM0). It is typically used as a foundational layer for national-level spatial analysis, cartographic visualizations, and as a reference for countrywide area calculations and statistical aggregation.",
"tags": [
"administrative",
"government",
"geographic",
"spatial",
"boundaries"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"iso2",
"iso3",
"adm0_name",
"adm0_name1",
"adm0_name2",
"adm0_name3",
"adm0_pcode",
"valid_on",
"valid_to",
"version",
"area_sqkm",
"lang",
"lang1",
"lang2",
"lang3",
"adm0_ref_name",
"center_lat",
"center_lon",
"geom"
],
"row_count": 1,
"category": "base",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:18.159865",
"last_enriched": "2026-01-09T16:36:18.989777"
},
"pan_admin1": {
"path": "base/pan_admin1.geojson",
"description": "Data from base/pan_admin1.geojson",
"semantic_description": "This dataset defines the 13 primary administrative divisions of Panama, including its provinces and major indigenous territories. It provides standardized names, area measurements, and codes necessary for nationwide spatial analysis and regional reporting. The layer serves as a foundational component for administrative mapping and aggregating statistical data at the provincial level.",
"tags": [
"administrative",
"government",
"geographic",
"spatial",
"boundaries"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"adm1_name",
"adm1_name1",
"adm1_name2",
"adm1_name3",
"adm1_pcode",
"adm0_name",
"adm0_name1",
"adm0_name2",
"adm0_name3",
"adm0_pcode",
"valid_on",
"valid_to",
"area_sqkm",
"version",
"lang",
"lang1",
"lang2",
"lang3",
"adm1_ref_name",
"center_lat",
"center_lon",
"geom"
],
"row_count": 13,
"category": "base",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:18.936257",
"last_enriched": "2026-01-09T16:36:22.439266"
},
"pan_adminlines": {
"path": "base/pan_adminlines.geojson",
"description": "Data from base/pan_adminlines.geojson",
"semantic_description": "This dataset contains the linear administrative boundaries of Panama across various hierarchical levels, including province and district borders identified by standard P-codes. It serves as a foundational spatial layer for delineating jurisdictional limits and performing territorial analysis. The data is primarily used for cartographic visualization and spatial joins that require precise border definitions for administrative planning.",
"tags": [
"administrative",
"spatial",
"boundaries",
"government"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"adm_level",
"name",
"valid_on",
"valid_to",
"version",
"right_pcod",
"left_pcod",
"geom"
],
"row_count": 2338,
"category": "base",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:19.846930",
"last_enriched": "2026-01-09T16:36:26.375260"
},
"universities": {
"path": "osm/universities.geojson",
"description": "Data from osm/universities.geojson",
"semantic_description": "This dataset identifies 62 higher education institutions across Panama, including attributes for names, operators, and facility types. It is designed for spatial analysis of educational coverage, urban infrastructure planning, and socio-economic research.",
"tags": [
"higher-education",
"education",
"infrastructure",
"osm",
"spatial",
"facilities",
"points",
"panama"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"name",
"osm_id",
"feature_type",
"operator",
"education_type",
"icon",
"geom"
],
"row_count": 62,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:19.856764",
"last_enriched": "2026-01-09T16:36:33.114270"
},
"panama_healthsites_geojson": {
"path": "hdx/health_facilities/panama-healthsites-geojson.geojson",
"description": "Data from hdx/panama-healthsites-geojson.geojson",
"semantic_description": "This dataset provides location and attribute data for 986 health facilities across Panama, including hospitals, laboratories, and clinics sourced from OpenStreetMap. It includes detailed information on operational status, bed capacity, and staffing levels, making it suitable for analyzing health infrastructure distribution and healthcare accessibility mapping.",
"tags": [
"health",
"facilities",
"geographic",
"spatial",
"infrastructure"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"osm_type",
"completeness",
"amenity",
"healthcare",
"name",
"operator",
"source",
"speciality",
"operator_type",
"operational_status",
"opening_hours",
"beds",
"staff_doctors",
"staff_nurses",
"health_amenity_type",
"dispensing",
"wheelchair",
"emergency",
"insurance",
"water_source",
"electricity",
"is_in_health_area",
"is_in_health_zone",
"url",
"addr_housenumber",
"addr_street",
"addr_postcode",
"addr_city",
"changeset_id",
"changeset_version",
"changeset_timestamp",
"uuid",
"geom"
],
"row_count": 986,
"category": "hdx",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:20.039814",
"last_enriched": "2026-01-09T16:35:58.888442"
},
"panama_healthsites_hxl_geojson": {
"path": "hdx/health_facilities/panama-healthsites-hxl-geojson.geojson",
"description": "Data from hdx/panama-healthsites-hxl-geojson.geojson",
"semantic_description": "This dataset comprises 986 health facilities across Panama, detailing hospitals, clinics, and laboratories with information on capacity, specialties, and operational status. It is designed for analyzing healthcare accessibility, resource distribution, and infrastructure coverage at a national level.",
"tags": [
"health",
"facilities",
"geographic",
"spatial",
"infrastructure"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"osm_type",
"completeness",
"#loc+amenity",
"#meta+healthcare",
"#loc +name",
"#meta +operator",
"#geo+bounds+url",
"#meta +speciality",
"#meta +operator_type",
"#contact +phone",
"#status+operational_status",
"#access +hours",
"#capacity +beds",
"#capacity +staff",
"#meta +health_amenity_type",
"#meta+dispensing",
"#meta+wheelchair",
"#meta+emergency",
"#meta+insurance",
"#meta+water_source",
"#meta+electricity",
"#meta+is_in_health_area",
"#meta+is_in_health_zone",
"#contact +url",
"addr_housenumber",
"addr_street",
"addr_postcode",
"addr_city",
"changeset_id",
"changeset_version",
"changeset_timestamp",
"#meta +id",
"geom"
],
"row_count": 986,
"category": "hdx",
"format": "geojson",
"last_indexed": "2026-01-09T16:15:20.152069",
"last_enriched": "2026-01-09T16:36:36.834369"
},
"kontur_population": {
"description": "Population density grid for Panama at 400m H3 hexagon resolution. Based on GHSL, Facebook HRSL, and Microsoft Buildings data.",
"tags": [
"population",
"density",
"panama",
"h3",
"hexagon",
"kontur",
"demographics"
],
"data_type": "vector",
"geometry_type": "polygon",
"semantic_description": "Population count per 400m H3 hexagonal grid cell. Use for population density analysis, demographic studies, and urban/rural classification.",
"path": "kontur/kontur_population_EPSG4326.gpkg",
"columns": [
"h3",
"population",
"geom"
],
"row_count": 33114
},
"osm_roads": {
"description": "OpenStreetMap Road network with classification for Panama",
"tags": [
"osm",
"panama",
"roads"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/roads.geojson"
},
"osm_pois": {
"description": "OpenStreetMap Points of interest (restaurants, shops, etc.) for Panama",
"tags": [
"osm",
"panama",
"pois"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/pois.geojson"
},
"osm_pois_areas": {
"description": "OpenStreetMap POI areas (larger venues) for Panama",
"tags": [
"osm",
"panama",
"pois areas"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/pois_areas.geojson"
},
"osm_buildings": {
"description": "OpenStreetMap Building footprints for Panama",
"tags": [
"osm",
"panama",
"buildings"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/buildings.geojson"
},
"osm_landuse": {
"description": "OpenStreetMap Land use zones (residential, commercial, etc.) for Panama",
"tags": [
"osm",
"panama",
"landuse"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/landuse.geojson"
},
"osm_natural_points": {
"description": "OpenStreetMap Natural features (trees, peaks) for Panama",
"tags": [
"osm",
"panama",
"natural points"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/natural_points.geojson"
},
"osm_natural_areas": {
"description": "OpenStreetMap Natural areas (forests, parks) for Panama",
"tags": [
"osm",
"panama",
"natural areas"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/natural_areas.geojson"
},
"osm_water_areas": {
"description": "OpenStreetMap Water bodies (lakes, reservoirs) for Panama",
"tags": [
"osm",
"panama",
"water areas"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/water_areas.geojson"
},
"osm_waterways": {
"description": "OpenStreetMap Rivers and streams for Panama",
"tags": [
"osm",
"panama",
"waterways"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/waterways.geojson"
},
"osm_railways": {
"description": "OpenStreetMap Railway lines for Panama",
"tags": [
"osm",
"panama",
"railways"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/railways.geojson"
},
"osm_traffic": {
"description": "OpenStreetMap Traffic infrastructure (signals, crossings) for Panama",
"tags": [
"osm",
"panama",
"traffic"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/traffic.geojson"
},
"osm_traffic_areas": {
"description": "OpenStreetMap Traffic areas (parking lots) for Panama",
"tags": [
"osm",
"panama",
"traffic areas"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/traffic_areas.geojson"
},
"osm_transport": {
"description": "OpenStreetMap Transport points (bus stops, stations) for Panama",
"tags": [
"osm",
"panama",
"transport"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/transport.geojson"
},
"osm_transport_areas": {
"description": "OpenStreetMap Transport areas (airports, ports) for Panama",
"tags": [
"osm",
"panama",
"transport areas"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/transport_areas.geojson"
},
"osm_places": {
"description": "OpenStreetMap Place names (cities, towns, villages) for Panama",
"tags": [
"osm",
"panama",
"places"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/places.geojson"
},
"osm_places_areas": {
"description": "OpenStreetMap Place areas for Panama",
"tags": [
"osm",
"panama",
"places areas"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/places_areas.geojson"
},
"osm_places_of_worship": {
"description": "OpenStreetMap Places of worship for Panama",
"tags": [
"osm",
"panama",
"places of worship"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/places_of_worship.geojson"
},
"osm_places_of_worship_areas": {
"description": "OpenStreetMap Places of worship (buildings) for Panama",
"tags": [
"osm",
"panama",
"places of worship areas"
],
"data_type": "vector",
"geometry_type": "auto",
"path": "osm/places_of_worship_areas.geojson"
},
"roads": {
"path": "osm/roads.geojson",
"description": "Data from osm/roads.geojson",
"semantic_description": null,
"tags": [
"spatial",
"infrastructure",
"roads",
"transportation"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"ref",
"oneway",
"maxspeed",
"layer",
"bridge",
"tunnel",
"geom"
],
"row_count": 118464,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:18:59.409660"
},
"places_of_worship_areas": {
"path": "osm/places_of_worship_areas.geojson",
"description": "Data from osm/places_of_worship_areas.geojson",
"semantic_description": null,
"tags": [
"spatial"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 694,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:18:59.460933"
},
"transport": {
"path": "osm/transport.geojson",
"description": "Data from osm/transport.geojson",
"semantic_description": null,
"tags": [
"maritime",
"spatial",
"infrastructure",
"transportation"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 1891,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:18:59.506892"
},
"pois_areas": {
"path": "osm/pois_areas.geojson",
"description": "Data from osm/pois_areas.geojson",
"semantic_description": null,
"tags": [
"spatial",
"points-of-interest",
"amenities"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 11583,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:00.011175"
},
"railways": {
"path": "osm/railways.geojson",
"description": "Data from osm/railways.geojson",
"semantic_description": null,
"tags": [
"spatial"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"layer",
"bridge",
"tunnel",
"geom"
],
"row_count": 296,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:00.034635"
},
"pois": {
"path": "osm/pois.geojson",
"description": "Data from osm/pois.geojson",
"semantic_description": null,
"tags": [
"spatial",
"points-of-interest",
"amenities"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 11129,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:00.261571"
},
"natural_points": {
"path": "osm/natural_points.geojson",
"description": "Data from osm/natural_points.geojson",
"semantic_description": null,
"tags": [
"spatial",
"points-of-interest",
"amenities"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 6500,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:00.395667"
},
"traffic": {
"path": "osm/traffic.geojson",
"description": "Data from osm/traffic.geojson",
"semantic_description": null,
"tags": [
"spatial"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 5902,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:00.509922"
},
"traffic_areas": {
"path": "osm/traffic_areas.geojson",
"description": "Data from osm/traffic_areas.geojson",
"semantic_description": null,
"tags": [
"spatial"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 3403,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:00.682898"
},
"buildings": {
"path": "osm/buildings.geojson",
"description": "Data from osm/buildings.geojson",
"semantic_description": null,
"tags": [
"spatial",
"built-environment",
"infrastructure"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"type",
"geom"
],
"row_count": 233936,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:08.488004"
},
"places": {
"path": "osm/places.geojson",
"description": "Data from osm/places.geojson",
"semantic_description": null,
"tags": [
"spatial",
"population"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"population",
"name",
"geom"
],
"row_count": 3683,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:08.594144"
},
"places_of_worship": {
"path": "osm/places_of_worship.geojson",
"description": "Data from osm/places_of_worship.geojson",
"semantic_description": null,
"tags": [
"spatial"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 228,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:08.609384"
},
"natural_areas": {
"path": "osm/natural_areas.geojson",
"description": "Data from osm/natural_areas.geojson",
"semantic_description": null,
"tags": [
"spatial"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 434,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:08.673965"
},
"waterways": {
"path": "osm/waterways.geojson",
"description": "Data from osm/waterways.geojson",
"semantic_description": null,
"tags": [
"natural-resources",
"spatial",
"hydrology"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"width",
"name",
"geom"
],
"row_count": 15532,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:10.791546"
},
"water_areas": {
"path": "osm/water_areas.geojson",
"description": "Data from osm/water_areas.geojson",
"semantic_description": null,
"tags": [
"natural-resources",
"spatial",
"hydrology"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 3733,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:12.941528"
},
"landuse": {
"path": "osm/landuse.geojson",
"description": "Data from osm/landuse.geojson",
"semantic_description": null,
"tags": [
"spatial"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 16075,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:15.893984"
},
"transport_areas": {
"path": "osm/transport_areas.geojson",
"description": "Data from osm/transport_areas.geojson",
"semantic_description": null,
"tags": [
"maritime",
"spatial",
"infrastructure",
"transportation"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"name",
"geom"
],
"row_count": 196,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:15.917475"
},
"places_areas": {
"path": "osm/places_areas.geojson",
"description": "Data from osm/places_areas.geojson",
"semantic_description": null,
"tags": [
"spatial",
"population"
],
"data_type": "semi-static",
"update_frequency": null,
"columns": [
"osm_id",
"code",
"fclass",
"population",
"name",
"geom"
],
"row_count": 239,
"category": "osm",
"format": "geojson",
"last_indexed": "2026-01-09T18:19:16.220819"
},
"overture_places": {
"path": "overture/overture_places.geojson",
"description": "Points of Interest from Overture Maps (Places theme)",
"semantic_description": "Comprehensive list of businesses and landmarks with names and categories. Use this for finding specific amenities, shops, or named locations.",
"tags": [
"overture",
"places",
"poi",
"businesses",
"landmarks",
"spatial",
"panama"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"id",
"version",
"sources",
"names",
"categories",
"basic_category",
"taxonomy",
"confidence",
"websites",
"socials",
"emails",
"phones",
"brand",
"addresses",
"operating_status",
"geom"
],
"row_count": 33362,
"category": "overture",
"format": "geojson",
"last_indexed": "2026-01-09T18:37:03.188928"
},
"overture_roads": {
"path": "overture/overture_roads.geojson",
"description": "Road network segments from Overture Maps",
"semantic_description": "Road network segments including highways, streets, and paths. Contains road names and classification.",
"tags": [
"overture",
"roads",
"transportation",
"infrastructure",
"spatial",
"panama"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"id",
"version",
"sources",
"subtype",
"class",
"names",
"connectors",
"routes",
"subclass_rules",
"access_restrictions",
"level_rules",
"destinations",
"prohibited_transitions",
"rail_flags",
"road_surface",
"road_flags",
"speed_limits",
"width_rules",
"subclass",
"geom"
],
"row_count": 179610,
"category": "overture",
"format": "geojson",
"last_indexed": "2026-01-09T18:37:18.729125"
},
"overture_buildings": {
"path": "overture/overture_buildings.geojson",
"description": "Building footprints from Overture Maps",
"semantic_description": "Building footprints including Microsoft and OSM data. Useful for urban density, infrastructure planning, and built-environment analysis.",
"tags": [
"overture",
"buildings",
"footprints",
"infrastructure",
"spatial",
"panama"
],
"data_type": "static",
"update_frequency": null,
"columns": [
"id",
"version",
"sources",
"level",
"subtype",
"class",
"height",
"names",
"has_parts",
"is_underground",
"num_floors",
"min_height",
"min_floor",
"num_floors_underground",
"facade_color",
"facade_material",
"roof_material",
"roof_shape",
"roof_direction",
"roof_orientation",
"roof_color",
"roof_height",
"geom"
],
"row_count": 1888314,
"category": "overture",
"format": "geojson",
"last_indexed": "2026-01-09T18:38:50.416300"
},
"panama_weather_stations": {
"path": "climate/weather_stations.geojson",
"description": "Major weather stations in Panama with average temperature and rainfall data.",
"semantic_description": "This dataset contains the locations of major weather stations in Panama (Tocumen, David, Bocas del Toro, etc.). It includes attributes for average annual temperature (Celsius), annual rainfall (mm), and elevation. Use this for analyzing climatic differences across the country.",
"tags": [
"climate",
"weather",
"temperature",
"rainfall",
"stations"
],
"data_type": "static",
"category": "climate",
"format": "geojson"
},
"panama_terrain_features": {
"path": "terrain/simplified_terrain.geojson",
"description": "Simplifed terrain features including major peaks and mountain ranges.",
"semantic_description": "A simplified dataset showing major terrain features of Panama, including Volc\u00e1n Bar\u00fa (highest peak) and the Central Cordillera. Contains points for peaks and lines for ranges, with elevation attributes.",
"tags": [
"terrain",
"elevation",
"mountains",
"volcano",
"geography"
],
"data_type": "static",
"category": "climate",
"format": "geojson"
},
"panama_national_indicators": {
"path": "socioeconomic/panama_national_indicators.geojson",
"description": "National socio-economic indicators from World Bank (2000-2024)",
"semantic_description": "Comprehensive national-level statistics for Panama including poverty rates, GDP, unemployment, health expenditure, maternal/child mortality, literacy rates, and school enrollment. Data sourced from World Bank Open Data API. Use this dataset for analyzing Panama's socio-economic development trends over time.",
"tags": [
"socioeconomic",
"worldbank",
"poverty",
"gdp",
"employment",
"health",
"education",
"national",
"panama"
],
"data_type": "static",
"category": "socioeconomic",
"format": "geojson"
},
"province_socioeconomic": {
"path": "socioeconomic/province_socioeconomic.geojson",
"description": "Province-level socioeconomic indicators for Panama (2023)",
"semantic_description": "Socioeconomic data at the province level including Multidimensional Poverty Index (MPI), population from Censo 2023, average income, and disability rates. Shows dramatic geographic inequality: Ng\u00e4be-Bugl\u00e9 comarca has 93.4% poverty vs 15% in Panam\u00e1 province. Use for analyzing regional disparities in poverty, development, and demographics.",
"tags": [
"socioeconomic",
"poverty",
"mpi",
"census",
"province",
"admin1",
"demographics",
"inequality",
"panama"
],
"data_type": "static",
"category": "socioeconomic",
"format": "geojson"
},
"panama_airports": {
"path": "global/airports/panama_airports.geojson",
"description": "Panama airports from OurAirports global database (91 airports)",
"semantic_description": "Comprehensive dataset of all airports in Panama including international, domestic, regional, and small airfields. Contains location, elevation, type (large/medium/small/heliport), runway information, and identifiers (ICAO, IATA codes). Updated daily from OurAirports open database. Use for aviation infrastructure analysis, accessibility studies, and transportation planning.",
"tags": [
"infrastructure",
"transportation",
"airports",
"aviation",
"panama",
"ourairports"
],
"data_type": "static",
"category": "infrastructure",
"format": "geojson",
"source": "OurAirports (davidmegginson/ourairports-data)",
"license": "Public Domain"
},
"censo_2023": {
"path": "censo/censo_2023_enriched.csv",
"description": "Panama Census 2023: Demographics & Housing (Corregimiento Level)",
"semantic_description": "Detailed dataset from the 2023 National Census of Population and Housing (Part I & II). Contains granular data at the Corregimiento level (Admin 3) covering: housing types, water access, sanitation, electricity sources, internet/computer access, education levels, and population demographics. Enriched with 'adm3_pcode' to enable spatial joining with 'pan_admin3'. Use for demographic analysis, infrastructure planning, and social program targeting.",
"tags": [
"census",
"demographics",
"housing",
"population",
"water",
"electricity",
"education",
"panama",
"2023"
],
"data_type": "static",
"category": "socioeconomic",
"format": "csv",
"columns": [
"adm3_pcode",
"cod_corr",
"nomb_prov",
"nomb_dist",
"nomb_corr",
"v1_tipo_vivienda__individual_permanente",
"v8_abastecimiento_de_agua__acueducto_publico_del_idaan",
"p13_acceso_internet__si",
"p3_edad_digitos__total"
]
}
} |