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School data

All school units in Sweden with key metrics, coordinates and provider information. 16,000+ schools, 18 fields.

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Rows: 16,000+ school units
Version: Current CSV build; check _period and _kalla per row.
Source: Skolverket
Period: School register and the latest published open key metrics; check _period per row in the CSV.

Sample row

skolenhetskod: 44673074
skolenhetNamn: Abrahamsbergsskolan
kommunNamn: Stockholm
kommunKod: 0180
lan: Stockholms län
huvudmanNamn: STOCKHOLMS KOMMUN
skolformer: GR, FKLASS, FTH
status: AKTIV

Field dictionary (18 columns)

Version: Current CSV build; check _period and _kalla per row. Source period: School register and the latest published open key metrics; check _period per row in the CSV.Tip: read the CSV with semicolon separator, UTF-8 BOM and a comma decimal separator.

Field	Type	Definition	Source	Limitation
`skolenhetskod`	code	Skolverket's unique code for the school unit.	Skolverket	The code identifies the school unit in the source but does not replace the provider's own reference numbers.
`skolenhetNamn`	text	The school unit's name per Skolverket's open register.	Skolverket	Names can change between releases and should be matched on the school-unit code.
`kommunNamn`	text	The municipality's name.	Skolverket / Kolada	Municipality names should be combined with kommunKod for a robust join.
`kommunKod`	code	SCB's four-digit municipality code.	SCB / Kolada / Skolverket	Read as text so that leading zeros are preserved.
`lan`	text	County in which the school unit or municipality is located.	Skolverket / SCB	County membership can be affected by historical municipal boundary changes.
`huvudmanNamn`	text	Provider or organisation that runs the school unit.	Skolverket	Says nothing about ownership structure, group relationships or contracts.
`skolformer`	list	School types the unit runs, comma-separated in the CSV.	Skolverket	A school unit can have several school types and should be filtered per analysis question.
`status`	text	School-unit status, for example active or inactive.	Skolverket	Status is updated per the source's publication cadence and can lag behind local decisions.
`lat`	coordinate	Latitude of the school unit's location.	Skolverket / Skolkoll geokodning	Coordinates may be approximate and should not be treated as an exact entrance point.
`lng`	coordinate	Longitude of the school unit's location.	Skolverket / Skolkoll geokodning	Coordinates may be approximate and should not be treated as an exact entrance point.
`antalElever`	integer	Number of pupils per the latest published statistics in the export.	Skolverket / Kolada	Small counts may be suppressed for confidentiality, rounded or missing.
`elevPerLarare`	decimal	Pupils per teacher or full-time equivalent depending on school type and dataset.	Skolverket / Kolada	Definition and measurement period can differ between school type and municipality level.
`behorigaLararePct`	percent	Share of qualified teachers, as a percentage.	Skolverket	Subject mix, small samples and the reporting period affect comparability.
`meritvardeAk9`	decimal	Average merit value in year 9.	Skolverket	Available only for relevant compulsory schools and should be read alongside pupil counts and data quality.
`behorigaGymnasietPct`	percent	Share of pupils eligible for upper-secondary vocational programmes.	Skolverket	Not available for all school types and is affected by small pupil groups.
`_kalla`	text	Primary source or source chain for the row.	Skolkoll	Always verify against the original source before publishing firm conclusions.
`_period`	text	Measurement period or school year the row refers to.	Skolkoll	Different fields in the same row can have different source periods when sources update at different cadences.
`_kvalitetsklass`	text	Skolkoll's data-quality class for the row or export.	Skolkoll	The quality class is an interpretation warning signal, not a certification of the source.

curl

curl -L "https://skolkoll.se/nedladdning/skolor.csv" -o skolor.csv

Python

import pandas as pd

df = pd.read_csv(
    "https://skolkoll.se/nedladdning/skolor.csv",
    sep=";",
    comment="#",
    encoding="utf-8-sig",
    decimal=",",
)
print(df.head(1))

Citation: Skolkoll. School data - all school units. Retrieved from https://skolkoll.se/data/. Source: Skolverket. Terms: Skolverket open data terms.

Dataset details · Open CSV

Municipality statistics

Aggregated statistics per municipality: merit value, teacher qualifications, pupil numbers, demographics and finances.

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Rows: 290 municipalities plus comparison rows where the source publishes them
Version: Latest published municipality value per indicator.
Source: Kolada
Period: Latest municipality value per indicator; the year is held in separate *_ar columns.

Sample row

kommunKod: 0180
kommunNamn: Stockholm
kostnadPerElev_kr: se CSV
kostnadPerElev_ar: senaste år
elevPerLarare: se CSV
elevPerLarare_ar: senaste år

Field dictionary (14 columns)

Version: Latest published municipality value per indicator. Source period: Latest municipality value per indicator; the year is held in separate *_ar columns.Tip: read the CSV with semicolon separator, UTF-8 BOM and a comma decimal separator.

Field	Type	Definition	Source	Limitation
`kommunKod`	code	SCB's four-digit municipality code.	SCB / Kolada / Skolverket	Read as text so that leading zeros are preserved.
`kommunNamn`	text	The municipality's name.	Skolverket / Kolada	Municipality names should be combined with kommunKod for a robust join.
`kostnadPerElev_kr`	integer	The municipality's cost per pupil in SEK for the given indicator.	Kolada	Municipal cost measures can be affected by accounting principles and activity mix.
`kostnadPerElev_ar`	year	Statistics year for kostnadPerElev_kr.	Kolada	Use the year when comparing with other municipal measures.
`elevPerLarare`	decimal	Pupils per teacher or full-time equivalent depending on school type and dataset.	Skolverket / Kolada	Definition and measurement period can differ between school type and municipality level.
`elevPerLarare_ar`	year	Export field elevPerLarare_ar as published in Skolkoll's CSV schema.	Kolada	Check measurement period, source and missing values before drawing firm conclusions from this field.
`meritvardeSnitt`	decimal	Average merit value at municipality level.	Kolada / Skolverket	An aggregated measure that does not show the spread between schools.
`meritvardeSnitt_ar`	year	Statistics year for meritvardeSnitt.	Kolada / Skolverket	Use the year for time comparisons.
`behorighetsgrad_pct`	percent	Eligibility rate for upper secondary, or the equivalent municipal indicator, as a percentage.	Kolada / Skolverket	Check the indicator's exact definition in Kolada before publishing.
`behorighetsgrad_ar`	year	Statistics year for behorighetsgrad_pct.	Kolada / Skolverket	Use the year when comparing with other indicators.
`antalElever`	integer	Number of pupils per the latest published statistics in the export.	Skolverket / Kolada	Small counts may be suppressed for confidentiality, rounded or missing.
`antalElever_ar`	year	Statistics year for antalElever.	Kolada / Skolverket	The year may differ from other indicators in the same municipality row.
`andelKommunalElever_pct`	percent	Share of pupils in municipal schools.	Kolada / Skolverket	An aggregated municipal measure that does not describe individual schools.
`andelFristaendeElever_pct`	percent	Share of pupils in independent (non-municipal) schools.	Kolada / Skolverket	An aggregated municipal measure that does not describe providers' profiles or waiting-list situations.

curl

curl -L "https://skolkoll.se/nedladdning/kommuner.csv" -o kommuner.csv

Python

import pandas as pd

df = pd.read_csv(
    "https://skolkoll.se/nedladdning/kommuner.csv",
    sep=";",
    comment="#",
    encoding="utf-8-sig",
    decimal=",",
)
print(df[["kommunKod", "kommunNamn"]].head())

Citation: Skolkoll. Municipality data - aggregated compulsory-school statistics per municipality. Retrieved from https://skolkoll.se/data/. Source: Kolada. Terms: Kolada API terms.

Dataset details · Open CSV

Historical data

Historical key metrics per municipality (compulsory school). Merit value, teacher qualifications and pupil numbers over time.

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Rows: Several years per municipality
Version: Time-series version per the ar column.
Source: Kolada
Period: Time series per municipality and year; the ar column gives the statistics year.

Sample row

kommunKod: 0180
kommunNamn: Stockholm
ar: senaste år
meritvardeSnitt: se CSV
kostnadPerElev_kr: se CSV
elevPerLarare: se CSV

Field dictionary (10 columns)

Version: Time-series version per the ar column. Source period: Time series per municipality and year; the ar column gives the statistics year.Tip: read the CSV with semicolon separator, UTF-8 BOM and a comma decimal separator.

Field	Type	Definition	Source	Limitation
`kommunKod`	code	SCB's four-digit municipality code.	SCB / Kolada / Skolverket	Read as text so that leading zeros are preserved.
`kommunNamn`	text	The municipality's name.	Skolverket / Kolada	Municipality names should be combined with kommunKod for a robust join.
`ar`	year	Statistics year or admissions year.	Kolada / Gymnasieantagningen	Compare only rows with the same year when analysing trends or selections.
`meritvardeSnitt`	decimal	Average merit value at municipality level.	Kolada / Skolverket	An aggregated measure that does not show the spread between schools.
`kostnadPerElev_kr`	integer	The municipality's cost per pupil in SEK for the given indicator.	Kolada	Municipal cost measures can be affected by accounting principles and activity mix.
`elevPerLarare`	decimal	Pupils per teacher or full-time equivalent depending on school type and dataset.	Skolverket / Kolada	Definition and measurement period can differ between school type and municipality level.
`behorighetsgrad_pct`	percent	Eligibility rate for upper secondary, or the equivalent municipal indicator, as a percentage.	Kolada / Skolverket	Check the indicator's exact definition in Kolada before publishing.
`antalElever`	integer	Number of pupils per the latest published statistics in the export.	Skolverket / Kolada	Small counts may be suppressed for confidentiality, rounded or missing.
`andelKommunalElever_pct`	percent	Share of pupils in municipal schools.	Kolada / Skolverket	An aggregated municipal measure that does not describe individual schools.
`andelFristaendeElever_pct`	percent	Share of pupils in independent (non-municipal) schools.	Kolada / Skolverket	An aggregated municipal measure that does not describe providers' profiles or waiting-list situations.

curl

curl -L "https://skolkoll.se/nedladdning/historik.csv" -o historik.csv

Python

import pandas as pd

df = pd.read_csv(
    "https://skolkoll.se/nedladdning/historik.csv",
    sep=";",
    comment="#",
    encoding="utf-8-sig",
    decimal=",",
)
print(df[df["kommunKod"].astype(str).str.zfill(4) == "0180"].tail())

Citation: Skolkoll. Historical data - time series per municipality (compulsory school). Retrieved from https://skolkoll.se/data/. Source: Kolada. Terms: Kolada API terms.

Dataset details · Open CSV

Admissions scores

Admissions scores, applicants and admitted students per upper-secondary programme and school.

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Rows: Programme/school combinations where admissions data exists
Version: Latest available admissions year in the ar column.
Source: Skolverket / Gymnasieantagningen
Period: Latest available admissions year in the file; the ar column gives the year.

Sample row

skolkod: exempel
skolnamn: Gymnasieskola
kommun: Kommun
program: Naturvetenskapsprogrammet
programkod: NA
ar: senaste år

Field dictionary (11 columns)

Version: Latest available admissions year in the ar column. Source period: Latest available admissions year in the file; the ar column gives the year.Tip: read the CSV with semicolon separator, UTF-8 BOM and a comma decimal separator.

Field	Type	Definition	Source	Limitation
`skolkod`	code	School code or school-unit code in the admissions data.	Skolverket / Gymnasieantagningen	May be missing or differ between regional admissions sources.
`skolnamn`	text	The school's name in the admissions data.	Skolverket / Gymnasieantagningen	Name normalisation may differ from Skolverket's school-unit register.
`kommun`	text	Municipality name in the admissions data.	Skolverket / Gymnasieantagningen	May refer to the school municipality or the admissions area's municipality depending on the source.
`program`	text	Name of the upper-secondary programme.	Gymnasieantagningen	Programme names can be combined with orientation and programme code for unique analysis.
`programkod`	code	Code for the upper-secondary programme.	Gymnasieantagningen / Skolverket	Use together with orientation when the programme has several variants.
`inriktning`	text	Orientation within the upper-secondary programme.	Gymnasieantagningen	May be empty when admissions are reported at programme level.
`ar`	year	Statistics year or admissions year.	Kolada / Gymnasieantagningen	Compare only rows with the same year when analysing trends or selections.
`antagningspoang`	decimal	Lowest or reported admissions score for the programme/school row.	Gymnasieantagningen	May refer to different selection rounds and is not a forecast for future admissions.
`antagna`	integer	Number of admitted students in the reported selection.	Gymnasieantagningen	May be missing or change between preliminary and final selection.
`sokande`	integer	Number of applicants to the programme/school row.	Gymnasieantagningen	The definition of applicant can vary between regions and selection rounds.
`forsthandssokande`	integer	Number of first-choice applicants.	Gymnasieantagningen	Sometimes missing and should not be interpreted as a standalone popularity ranking.

curl

curl -L "https://skolkoll.se/nedladdning/antagning.csv" -o antagning.csv

Python

import pandas as pd

df = pd.read_csv(
    "https://skolkoll.se/nedladdning/antagning.csv",
    sep=";",
    comment="#",
    encoding="utf-8-sig",
    decimal=",",
)
print(df[["skolnamn", "program", "ar", "antagningspoang"]].head())

Citation: Skolkoll. Admissions - admissions scores per upper-secondary programme. Retrieved from https://skolkoll.se/data/. Source: Skolverket/Gymnasieantagningen. Licence: CC BY 4.0.

Dataset details · Open CSV

Licence terms

All data is distributed under CC BY 4.0. You may freely use, share and adapt the data, but you must credit Skolkoll as the source.

Want the data via API? See data sources or contact us.

Building an AI agent? See the AI guide for Skolkoll's open data with endpoint schema, CSV format and use cases.