Mexico City Neighborhoods (Colonias) - Vintage/Millésimé - MexicoColonias de CDMX - Vintage/Millésimé - Mexico
Colonias de CDMX - Vintage/Millésimé - MexicoMexico City Neighborhoods (Colonias) - Vintage/Millésimé - Mexico
This dataset is part of the geographic reference collection maintained by Opendatasoft, used by various data-processing tools and applications. It provides boundary and reference data for the neighborhoods (colonias) of Mexico City, extracted from the Cartografía por Demarcación Territorial published by the Instituto Electoral de Ciudad de México. The data is versioned by year, covering the 2019 and 2022 editions, allowing users to track changes in administrative divisions over time. It is intended for integration into geographic information systems and applications requiring standardized, dated boundary references for Mexico City's local administrative units.This dataset is part of the Geographical repository maintained by Opendatasoft. Processors and tools are using this data. They have been extracted from the Cartografía por Demarcacíon Territorial published by the Instituto Electoral de Ciudad de México, and contain data for 2019 and 2022. This da...
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Data schema (11 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | year | date | — |
| — | sta_codeState code | text | — |
| — | sta_nameState name | text | — |
| — | mun_codeMunicipality code | text | — |
| — | mun_nameMunicipality name | text | — |
| — | col_codeColonia code | text | — |
| — | col_nameColonia name | text | — |
| — | col_area_codeISO 3166-3 Area code | text | — |
| 100% | col_typeType | text | — |
Schema captured from opendatasoft 1 day ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1year: 2019 · col_code: ["06-028"]
{
"year": "2019",
"col_code": [
"06-028"
],
"col_name": [
"Reforma Iztaccihuatl Sur"
],
"col_type": "colonia",
"mun_code": [
"09006"
],
"mun_name": [
"Iztacalco"
],
"sta_code": [
"09"
],
"sta_name": [
"Ciudad de México"
],
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 19.37761662479154,
"lon": -99.12875865766891
},
"col_area_code": "MEX"
}Record 2year: 2019 · col_code: ["10-009"]
{
"year": "2019",
"col_code": [
"10-009"
],
"col_name": [
"Alfonso Xiii"
],
"col_type": "colonia",
"mun_code": [
"09010"
],
"mun_name": [
"Álvaro Obregón"
],
"sta_code": [
"09"
],
"sta_name": [
"Ciudad de México"
],
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 19.376324245921072,
"lon": -99.1953893317371
},
"col_area_code": "MEX"
}Record 3year: 2019 · col_code: ["16-006"]
{
"year": "2019",
"col_code": [
"16-006"
],
"col_name": [
"Anahuac Dos Lagos"
],
"col_type": "colonia",
"mun_code": [
"09016"
],
"mun_name": [
"Miguel Hidalgo"
],
"sta_code": [
"09"
],
"sta_name": [
"Ciudad de México"
],
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-99.1917276800367,
19.4448020922017
],
[
-99.1919959754641,
19.4428408203977
],
[
-99.1920585835057,
19.4425268278827
],
[
-99.1918550371263,
19.4422799368026
],
[
-99.1909565598902,
19.4423450135637
],
[
-99.1899146393331,
19.4424498956176
],
[
-99.1875998630687,
19.4426828842981
],
[
-99.1870545059072,
19.4427377716244
],
[
-99.1865182619784,
19.4429476000123
],
[
-99.18636803501059,
19.4437602914151
],
[
-99.1863089712166,
19.4440798099805
],
[
-99.1868294919029,
19.4441479503536
],
[
-99.18739079108701,
19.4442214272226
],
[
-99.1879554153352,
19.4442953375378
],
[
-99.1884743529717,
19.4443632657835
],
[
-99.1895534617277,
19.4445045147423
],
[
-99.1906662405437,
19.4446568201825
],
[
-99.1917276800367,
19.4448020922017
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 19.44348778576853,
"lon": -99.18946913030918
},
"col_area_code": "MEX"
}Record 4year: 2019 · col_code: ["17-026"]
{
"year": "2019",
"col_code": [
"17-026"
],
"col_name": [
"Federal"
],
"col_type": "colonia",
"mun_code": [
"09017"
],
"mun_name": [
"Venustiano Carranza"
],
"sta_code": [
"09"
],
"sta_name": [
"Ciudad de México"
],
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 19.420283741083953,
"lon": -99.08882152206124
},
"col_area_code": "MEX"
}Record 5year: 2022 · col_code: ["10-252"]
{
"year": "2022",
"col_code": [
"10-252"
],
"col_name": [
"Olivar Del Conde 1ra Seccion I"
],
"col_type": "colonia",
"mun_code": [
"09010"
],
"mun_name": [
"Álvaro Obregón"
],
"sta_code": [
"09"
],
"sta_name": [
"Ciudad de México"
],
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-99.20580346,
19.37760938
],
[
-99.20588146,
19.37740957
],
[
-99.20589426,
19.37735512
],
[
-99.20593698,
19.37717331
],
[
-99.2059789,
19.37709018
],
[
-99.20616363,
19.37672391
],
[
-99.20657726,
19.37579005
],
[
-99.20741035,
19.37392839
],
[
-99.20787111,
19.37411299
],
[
-99.20832889,
19.37430431
],
[
-99.20873801,
19.37337741
],
[
-99.20828238,
19.37319091
],
[
-99.20805752,
19.3730983
],
[
-99.20794509,
19.37305199
],
[
-99.20783266,
19.37300569
],
[
-99.20790853,
19.37281768
],
[
-99.20741668,
19.37282729
],
[
-99.20736824,
19.37283007
],
[
-99.20684572,
19.37286001
],
[
-99.2067394,
19.37290457
],
[
-99.20623851,
19.37292366
],
[
-99.20616775,
19.37292527
],
[
-99.20401105,
19.37297414
],
[
-99.20347999,
19.37296765
],
[
-99.20275176,
19.37470268
],
[
-99.20235439,
19.37560723
],
[
-99.20223881,
19.3756782
],
[
-99.20212323,
19.37574916
],
[
-99.20194635,
19.37586171
],
[
-99.20171476,
19.3760118
],
[
-99.20141521,
19.37620593
],
[
-99.20135612,
19.37624422
],
[
-99.20111545,
19.37640019
],
[
-99.20079069,
19.37661066
],
[
-99.20127799,
19.37720548
],
[
-99.20132876,
19.37726746
],
[
-99.20199611,
19.3759246
],
[
-99.20222905,
19.37587736
],
[
-99.20136529,
19.37773196
],
[
-99.20140561,
19.3777863
],
[
-99.20160362,
19.37777196
],
[
-99.20168029,
19.37758572
],
[
-99.2023816,
19.37788481
],
[
-99.2023964,
19.37785454
],
[
-99.20247814,
19.37768761
],
[
-99.20251371,
19.37761458
],
[
-99.20253525,
19.37757053
],
[
-99.20259108,
19.37744647
],
[
-99.20267104,
19.37726878
],
[
-99.20273696,
19.3771223
],
[
-99.20280911,
19.37696198
],
[
-99.20283171,
19.37694984
],
[
-99.20285431,
19.37693769
],
[
-99.20331763,
19.37711039
],
[
-99.20381803,
19.37725279
],
[
-99.204145,
19.37734143
],
[
-99.20428916,
19.37738393
],
[
-99.20477672,
19.37752765
],
[
-99.2048739,
19.37755164
],
[
-99.20500637,
19.37758434
],
[
-99.20514074,
19.37759409
],
[
-99.20527511,
19.37760384
],
[
-99.20545253,
19.3776185
],
[
-99.20580346,
19.37760938
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 19.37516016040661,
"lon": -99.20475026350319
},
"col_area_code": "MEX"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-mexico-colonia-millesime
License
Terms stated by the source (not a recognized license):
creative_commons_attribution_license_4_0
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-mexico-colonia-millesime/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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