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District - Vintage - IsraelDistrict - Vintage/Millésimé - Israel

District - Vintage/Millésimé - IsraelDistrict - Vintage - Israel

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This dataset is part of the geographical reference repository maintained by Opendatasoft, providing administrative boundary data for Israel at the district level. It forms part of a broader hierarchical dataset series covering district, sub-district, region, and settlement levels for the country. The geometries have been simplified to improve performance when used in mapping or geographic services. The dataset is intended for use in geographic information systems, data visualization, and applications requiring standardized administrative boundaries for Israel.This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for Districts in Israel Available levels District Sub District Region Settlement Enhancements Simplify geometries to provide better performance across the services.

42
fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (12 fields)

Filterable via the API (10)
yeardis_codedis_name_hedis_name_upper_hedis_name_lower_hedis_area_codedis_typedis_name_endis_name_upper_endis_name_lower_en

Click a field to see example values.

FillFieldTypeDescription
geo_point_2dGeo Pointgeo_point_2d
geo_shapeShapegeo_shape
yearFilterable via the APIdate
dis_codeFilterable via the APIDistrict codetext
dis_name_heFilterable via the APIDistrict name (Hebrew)text
dis_name_upper_heFilterable via the APIDistrict name (upper case, Hebrew)text
dis_name_lower_heFilterable via the APIDistrict name (lower case, Hebrew)text
dis_area_codeFilterable via the APIISO 3166-3 Area codetext
dis_typeFilterable via the APITypetext
dis_name_enFilterable via the APIDistrict name (English)text
100%dis_name_upper_enFilterable via the APIDistrict name (upper case, English)text
100%dis_name_lower_enFilterable via the APIDistrict name (lower case, English)text

Schema captured from opendatasoft 51 minutes 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: 2022 · dis_code: ["3"]
{
  "year": "2022",
  "dis_code": [
    "3"
  ],
  "dis_type": "District",
  "geo_shape": "[large value omitted]",
  "dis_name_en": "Northern",
  "dis_name_he": "צפון",
  "geo_point_2d": {
    "lat": 32.867079534984384,
    "lon": 35.47014992814738
  },
  "dis_area_code": "ISR",
  "dis_name_lower_en": "northern",
  "dis_name_lower_he": "צפון",
  "dis_name_upper_en": "NORTHERN",
  "dis_name_upper_he": "צפון"
}
Record 2year: 2022 · dis_code: ["1"]
{
  "year": "2022",
  "dis_code": [
    "1"
  ],
  "dis_type": "District",
  "geo_shape": "[large value omitted]",
  "dis_name_en": "Southern",
  "dis_name_he": "דרום",
  "geo_point_2d": {
    "lat": 30.83005178082047,
    "lon": 34.862218017325496
  },
  "dis_area_code": "ISR",
  "dis_name_lower_en": "southern",
  "dis_name_lower_he": "דרום",
  "dis_name_upper_en": "SOUTHERN",
  "dis_name_upper_he": "דרום"
}
Record 3year: 2022 · dis_code: ["4"]
{
  "year": "2022",
  "dis_code": [
    "4"
  ],
  "dis_type": "District",
  "geo_shape": "[large value omitted]",
  "dis_name_en": "Haifa",
  "dis_name_he": "חיפה",
  "geo_point_2d": {
    "lat": 32.609538853585924,
    "lon": 35.02228650040447
  },
  "dis_area_code": "ISR",
  "dis_name_lower_en": "haifa",
  "dis_name_lower_he": "חיפה",
  "dis_name_upper_en": "HAIFA",
  "dis_name_upper_he": "חיפה"
}
Record 4year: 2022 · dis_code: ["5"]
{
  "year": "2022",
  "dis_code": [
    "5"
  ],
  "dis_type": "District",
  "geo_shape": "[large value omitted]",
  "dis_name_en": "Tel Aviv",
  "dis_name_he": "תל אביב",
  "geo_point_2d": {
    "lat": 32.08197484394985,
    "lon": 34.80935497484963
  },
  "dis_area_code": "ISR",
  "dis_name_lower_en": "tel aviv",
  "dis_name_lower_he": "תל אביב",
  "dis_name_upper_en": "TEL AVIV",
  "dis_name_upper_he": "תל אביב"
}
Record 5year: 2022 · dis_code: ["6"]
{
  "year": "2022",
  "dis_code": [
    "6"
  ],
  "dis_type": "District",
  "geo_shape": "[large value omitted]",
  "dis_name_en": "Jerusalem",
  "dis_name_he": "ירושלים",
  "geo_point_2d": {
    "lat": 31.737208361158835,
    "lon": 35.11403695351435
  },
  "dis_area_code": "ISR",
  "dis_name_lower_en": "jerusalem",
  "dis_name_lower_he": "ירושלים",
  "dis_name_upper_en": "JERUSALEM",
  "dis_name_upper_he": "ירושלים"
}

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-israel-district-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-israel-district-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.

Full API documentation ↗

Rate limits

10 000 000 req/day
per ipmeasured
observed 51 minutes ago

Dataset

Volume & freshness

Records
6
Update cadence
Annual
declared upstream
Last upstream update
5 years ago
2022-04-14
Temporal coverage
2022 → ongoing

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

District - Vintage/Millésimé - Israel — live verification badge

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