Gainfully employed, 2019 -2021 - Statistical data for Malmö's areas

Shows the number of individuals living in the area and classified as gainfully
employed. Starting with the reference year 2019, SCB uses a new data source
and method to classify gainfully employed in RAMS. The change in source and
method means that comparisons of statistics for 2019 and previous reference
years must be made with great caution. From 2019 onwards, the data is based on
data from the so-called employer declarations at individual level (AGI). If
the person received a salary in November that exceeds SEK 99, the person is
classified as gainfully employed. For self-employed persons, as before, those
who have declared active business activity during the reference year are
classified as gainfully employed. Even those who are temporarily absent from
an employment during the measurement period, e.g. due to illness, are counted
as gainfully employed. Read more at SCB.se. Shown for the age range 20–64.
Data from SCB RAMS (“Register-based labor market statistics”).

**Variable description**
You find it
[here](https://malmo.se/download/18.7f765e1719e2074a3d6262/1778843019621/Variabelbeskrivning%20statistikunderlag%20f%C3%B6r%20Malm%C3%B6s%20omr%C3%A5den%20Tillg%C3%A4nglighetsanpassad.pdf)
!

**API**
Using the API call
_https://opendata%2dapi.malmo.se/api/3/action/resource_search?query=description:malm%C3%B6%20statistics,_
you can retrieve all data sets that contain statistical data for Malmö's areas
in JSON format.
In each instance of result/results in the JSON result, there is an "id"
property for each resource. The value of "id" can be used to retrieve the data
for the respective statistics variable (according to the value of the "name"
property). API call to retrieve the statistics data:
_https://opendata%2dapi.malmo.se/api/3/action/datastore_search?resource_id=[id
value]_

Feel free to use the numbers, but cite “City Office, Malmö City” as the
source.