Area statistics: what does the area look like?

Aggregated statistics for a kommune or grunnkrets: population by gender, age and education, households, dwellings, commuting and how income and wealth are distributed.

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Prøv med et ekte område: Oslo kommune

• Test in under a minute
• One GET call
• JSON
• Norway
• Updated annually

info

Placepoint API is under development. This endpoint does not respond yet, and we have no date for when it will.

From area to statistics

The call tells you who lives in an area, not just what a single property is. Brokers use it to put a property in context in a sales prospectus without looking up several sources themselves, developers use it to assess the buyer base around a site before they bid, and analysts use it to compare many areas in a loop of calls.

The answer comes with population by gender, age group and education level, households by type, dwellings by type and form of ownership, daytime population and commuting, and the distribution of income and wealth in bands, with averages. Income is alminnelig inntekt (ordinary income) and wealth is net wealth, as defined by Skatteetaten (the Norwegian Tax Administration). The bands are given in thousands of kroner.

The area level is chosen with areaId: a kommunenummer gives broad coverage, a grunnkrets gives finer geographical resolution than the kommune. Both are sums over the 100-metre grid cells in the area, so the figures for a grunnkrets and the figures for the kommune it lies in build on the same source.

• Two levels in the same call

  An areaId with four digits is a kommunenummer, eight digits is a grunnkrets number. The client needs no separate logic for each level.

• Distributions, not just averages

  Income and wealth come as the number of people per band, so you can see the spread in an area and not just the average.

• One source for the whole country

  All figures come from SSB and Skatteetaten via Geodata's demographic grid, with the same year for all of Norway.

Fields that actually tell you something

One GET call with areaId gives you the statistics for the area. The fields below are the ones that decide what the figures actually measure.

GET/areas/{country}/{areaId}/statistics

curl -X GET "https://data.placepoint.no/areas/NO/0301/statistics" \
  -H "Authorization: Bearer $TOKEN"

svar · 200

{
  "area": {
    "id": "0301",
    "kind": "MUNICIPALITY",
    "name": "Oslo",
    "municipality": {
      "number": "0301",
      "name": "Oslo"
    }
  },
  "population": 717710,
  "populationByGender": {
    "male": 355200,
    "female": 362510
  },
  "populationByAgeGroup": [
    {
      "label": "0-5",
      "count": 44100,
      "sharePct": 6.1
    },
    {
      "label": "6-12",
      "count": 52300,
      "sharePct": 7.3
    },
    {
      "label": "13-15",
      "count": 19500,
      "sharePct": 2.7
    },
    {
      "label": "16-18",
      "count": 20100,
      "sharePct": 2.8
    },
    {
      "label": "19-23",
      "count": 41600,
      "sharePct": 5.8
    },
    {
      "label": "24-34",
      "count": 148200,
      "sharePct": 20.6
    },
    {
      "label": "35-44",
      "count": 118400,
      "sharePct": 16.5
    },
    {
      "label": "45-54",
      "count": 93300,
      "sharePct": 13
    },
    {
      "label": "55-64",
      "count": 73200,
      "sharePct": 10.2
    },
    {
      "label": "65-74",
      "count": 56800,
      "sharePct": 7.9
    },
    {
      "label": "75-84",
      "count": 35900,
      "sharePct": 5
    },
    {
      "label": "85+",
      "count": 14310,
      "sharePct": 2
    }
  ],
  "populationByEducationLevel": [
    {
      "label": "Ingen eller uoppgitt",
      "count": 48200,
      "sharePct": 7.9
    },
    {
      "label": "Grunnskole",
      "count": 118400,
      "sharePct": 19.4
    },
    {
      "label": "Videregående",
      "count": 197300,
      "sharePct": 32.3
    },
    {
      "label": "Universitet og høyskole, lavere grad",
      "count": 161900,
      "sharePct": 26.5
    },
    {
      "label": "Universitet og høyskole, høyere grad",
      "count": 85200,
      "sharePct": 13.9
    }
  ],
  "populationHistory": [
    {
      "year": 2025,
      "value": 717710
    }
  ],
  "averageAge": 38.4,
  "daytimePopulation": 812400,
  "commuters": {
    "inbound": 137500,
    "outbound": 61200
  },
  "households": {
    "count": 371400,
    "averageSize": 1.93,
    "byComposition": [
      {
        "label": "Enslig uten barn",
        "count": 190100,
        "sharePct": 51.2
      },
      {
        "label": "Par uten barn",
        "count": 71300,
        "sharePct": 19.2
      },
      {
        "label": "Par med små barn",
        "count": 48600,
        "sharePct": 13.1
      }
    ]
  },
  "housing": {
    "unitCount": 358900,
    "cabinCount": 2140,
    "byType": [
      {
        "label": "Blokk",
        "count": 259400,
        "sharePct": 72.3
      },
      {
        "label": "Enebolig",
        "count": 26800,
        "sharePct": 7.5
      }
    ],
    "byTenure": [
      {
        "label": "Selveier",
        "count": 171200,
        "sharePct": 46.1
      },
      {
        "label": "Eier borettslagsbolig",
        "count": 93600,
        "sharePct": 25.2
      },
      {
        "label": "Leier",
        "count": 106600,
        "sharePct": 28.7
      }
    ]
  },
  "employeeCount": 486200,
  "employedResidents": 398700,
  "averageIncome": {
    "amount": "512300.00",
    "currency": "NOK"
  },
  "incomeDistribution": [
    {
      "label": "0",
      "count": 21400,
      "sharePct": 3.6
    },
    {
      "label": "0-100",
      "count": 38900,
      "sharePct": 6.5
    },
    {
      "label": "100-200",
      "count": 54100,
      "sharePct": 9
    },
    {
      "label": "200-300",
      "count": 61800,
      "sharePct": 10.3
    },
    {
      "label": "300-400",
      "count": 78500,
      "sharePct": 13.1
    },
    {
      "label": "400-500",
      "count": 84200,
      "sharePct": 14.1
    },
    {
      "label": "500-600",
      "count": 66300,
      "sharePct": 11.1
    },
    {
      "label": "600-700",
      "count": 48700,
      "sharePct": 8.1
    },
    {
      "label": "700-800",
      "count": 34900,
      "sharePct": 5.8
    },
    {
      "label": "800-1000",
      "count": 41600,
      "sharePct": 6.9
    },
    {
      "label": "1000-1500",
      "count": 37800,
      "sharePct": 6.3
    },
    {
      "label": "1500+",
      "count": 30400,
      "sharePct": 5.1
    }
  ],
  "averageWealth": {
    "amount": "1840000.00",
    "currency": "NOK"
  },
  "wealthDistribution": [
    {
      "label": "0",
      "count": 142600,
      "sharePct": 23.8
    },
    {
      "label": "0-50",
      "count": 61200,
      "sharePct": 10.2
    },
    {
      "label": "50-200",
      "count": 58900,
      "sharePct": 9.8
    },
    {
      "label": "200-400",
      "count": 47300,
      "sharePct": 7.9
    },
    {
      "label": "400-700",
      "count": 49800,
      "sharePct": 8.3
    },
    {
      "label": "700-1000",
      "count": 38600,
      "sharePct": 6.4
    },
    {
      "label": "1000-2000",
      "count": 86400,
      "sharePct": 14.4
    },
    {
      "label": "2000-3000",
      "count": 46100,
      "sharePct": 7.7
    },
    {
      "label": "3000-4000",
      "count": 25700,
      "sharePct": 4.3
    },
    {
      "label": "4000+",
      "count": 43000,
      "sharePct": 7.2
    }
  ],
  "asOfDate": "2025-01-01"
}

Scope: area:readTeknisk referanse og Try-it

Vis alle felt (65)

Felt	Type	Beskrivelse
area.id	string	Area identifier, matching the areaId path parameter.
area.kind	string	Area granularity. POSTAL_CODE is reserved; postal codes are not served yet.
area.name	string	Area name.
area.municipality.number	string	Kommunenummer, 4 digits.
area.municipality.name	string	Kommune name.
population	integer	Registered population.
populationByGender.male	integer	Registered men.
populationByGender.female	integer	Registered women.
populationByAgeGroup[].label	string	Bucket label.
populationByAgeGroup[].count	integer	How many fall in the bucket.
populationByAgeGroup[].sharePct	number	The bucket's share of the total, as a percentage.
populationByEducationLevel[].label	string	Bucket label.
populationByEducationLevel[].count	integer	How many fall in the bucket.
populationByEducationLevel[].sharePct	number	The bucket's share of the total, as a percentage.
populationHistory[].year	integer	Year.
populationHistory[].value	number	Value for that year.
populationProjection[].year	integer	Year.
populationProjection[].value	number	Value for that year.
averageAge	number	Average age of the registered population.
daytimePopulation	integer	People present in the area during working hours.
commuters.inbound	integer	People commuting into the area.
commuters.outbound	integer	People commuting out of the area.
households.count	integer	Number of households.
households.averageSize	number	Average number of people per household.
households.byComposition[].label	string	Bucket label.
households.byComposition[].count	integer	How many fall in the bucket.
households.byComposition[].sharePct	number	The bucket's share of the total, as a percentage.
housing.unitCount	integer	Dwelling units in the area.
housing.cabinCount	integer	Holiday homes in the area.
housing.averageAreaM2	number	Average dwelling area in square meters.
housing.averageBuiltYear	integer	Average year of completion for the dwellings.
housing.averagePrice.amount	string	Decimal string, e.g. "12500000.00".
housing.averagePrice.currency	string	ISO 4217, e.g. NOK or SEK.
housing.byType[].label	string	Bucket label.
housing.byType[].count	integer	How many fall in the bucket.
housing.byType[].sharePct	number	The bucket's share of the total, as a percentage.
housing.byTenure[].label	string	Bucket label.
housing.byTenure[].count	integer	How many fall in the bucket.
housing.byTenure[].sharePct	number	The bucket's share of the total, as a percentage.
employeeCount	integer	People employed at workplaces in the area.
employedResidents	integer	Residents of the area who are employed, wherever they work.
averageIncome.amount	string	Decimal string, e.g. "12500000.00".
averageIncome.currency	string	ISO 4217, e.g. NOK or SEK.
incomeDistribution[].label	string	Bucket label.
incomeDistribution[].count	integer	How many fall in the bucket.
incomeDistribution[].sharePct	number	The bucket's share of the total, as a percentage.
medianIncome.amount	string	Decimal string, e.g. "12500000.00".
medianIncome.currency	string	ISO 4217, e.g. NOK or SEK.
totalIncome.amount	string	Decimal string, e.g. "12500000.00".
totalIncome.currency	string	ISO 4217, e.g. NOK or SEK.
averageWealth.amount	string	Decimal string, e.g. "12500000.00".
averageWealth.currency	string	ISO 4217, e.g. NOK or SEK.
wealthDistribution[].label	string	Bucket label.
wealthDistribution[].count	integer	How many fall in the bucket.
wealthDistribution[].sharePct	number	The bucket's share of the total, as a percentage.
transactionsLast12Months	integer	Recorded property transactions in the trailing 12 months.
medianPricePerM2.amount	string	Decimal string, e.g. "12500000.00".
medianPricePerM2.currency	string	ISO 4217, e.g. NOK or SEK.
marketActivity	string	Qualitative transaction-volume tier for the area.
priceHistory[].quarter	string	Quarter, YYYY-Qn.
priceHistory[].medianPricePerM2.amount	string	Decimal string, e.g. "12500000.00".
priceHistory[].medianPricePerM2.currency	string	ISO 4217, e.g. NOK or SEK.
priceHistory[].transactionCount	integer	Recorded transactions in the quarter.
priceHistory[].dwellingType	string	The dwelling type the figure covers, absent when it covers all types.
asOfDate	string	The date the statistics were computed as of.

area.kind shows the level of detail the figures apply to, and asOfDate shows which year the population figures apply to. incomeDistribution and wealthDistribution give the number of people per band, and averageIncome and averageWealth give the average. The fields for transactions and price level in the schema (transactionsLast12Months, medianPricePerM2, marketActivity, priceHistory) and populationProjection are not in the answer yet.

Test in under a minute

1. Log in with GitHub

   One click, under a minute, no payment card. The key comes back to this page.

2. Call the endpoint

   The curl above fills itself in with your key when you are logged in. The call needs a country code and an areaId in the right format for the level you are asking about.

3. Apply the answer

   Put the property in context in a sales prospectus, or loop over several areaId values to compare the buyer base across areas.

Data and sources

The figures come from SSB and Skatteetaten, compiled on 100-metre grid cells by Geodata and summed by us per kommune and grunnkrets. The grid is updated annually; asOfDate shows the year. Sweden is not included yet.

See also

• Analysis
• The area analysis
• The Demographics report
• The Demographics map layer
• Technical reference
• Placepoint API

Questions and answers

How fresh is the data?

asOfDate shows which year the population figures apply to. The grid is updated once a year after SSB and Skatteetaten have published, not every night.

What kind of income and wealth is this?

Income is alminnelig inntekt (ordinary income): all taxable income minus deductible costs, which is the basis for income tax. It is not gross income. Wealth is net wealth, that is the assessed value of assets minus debt. The bands in incomeDistribution and wealthDistribution are in thousands of kroner, and the averages are in kroner.

Does it work in Sweden?

Not yet. A Swedish areaId returns 404 until we have a source for Swedish areas.

Which areaId formats are there?

Kommunenummer with four digits and grunnkrets with eight. Postcodes also have four digits and cannot be told apart from a kommunenummer, so postcodes are not supported yet. area.kind in the answer confirms which level the figures apply to.

Put a property in the context of its area

One GET call gives you population, households, dwellings and the distribution of income and wealth for a kommune or grunnkrets. Log in with GitHub at the top of the page to try it today, or get in touch for access to the whole country.

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