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Income inequality indicators by region. Year 2011 - 2023
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Income inequality indicators by year, region, type of income and observations
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Read more about the survey
Contact
Johan Lindberg, Statistics Sweden
+46 010-479 60 64
johan.lindberg@scb.se
Inkomststatistik, Statistics Sweden
+46 .
inkomststat@scb.se
Peter Gärdqvist, Statistics Sweden
+46 010-479 67 85
peter.gardqvist@scb.se
Official statistics
Yes
Latest update
2025-01-21
Unit
Mean value, SEK thousands:
SEK thousands
Gini coefficient:
coefficient
P10/P50:
ratio
P90/P50:
ratio
Number of persons:
number
Reference time
Mean value, SEK thousands:
Calendar year
Gini coefficient:
Calendar year
P10/P50:
Calendar year
P90/P50:
Calendar year
Number of persons:
Calendar year
Data type
Mean value, SEK thousands:
Stock
Gini coefficient:
Stock
P10/P50:
Stock
P90/P50:
Stock
Number of persons:
Stock
Price type
Mean value, SEK thousands:
Fixed Prices
Day adjusted
Mean value, SEK thousands:
No
Gini coefficient:
No
P10/P50:
No
P90/P50:
No
Number of persons:
No
Seasonally adjusted
Mean value, SEK thousands:
No
Gini coefficient:
No
P10/P50:
No
P90/P50:
No
Number of persons:
No
Basetime
Mean value, SEK thousands:
last updated year
Responsible authority
Statistics Sweden
Matrix
000006Q1
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Income inequality indicators by year, region, type of income and observations
This page shows the results of the figures you selected on the variable-page in PxWeb. On this result-page you can download the numbers in another format, pivot or edit them. You can also save them as a saved query, which can be sent to others or used as a link the next time you want to see these numbers with new time periods.
00 Sweden
Equivalised disposable income including capital gains
Equivalised disposable income excluding capital gains
Mean value, SEK thousands
Gini coefficient
P10/P50
P90/P50
Number of persons
Mean value, SEK thousands
Gini coefficient
P10/P50
P90/P50
Number of persons
2011
314.2
0.292
0.55
1.74
9 250 216
299.1
0.263
0.55
1.69
9 250 216
2012
321.6
0.288
0.55
1.74
9 312 395
308.4
0.264
0.55
1.70
9 312 395
2013
329.6
0.291
0.55
1.75
9 389 829
314.3
0.264
0.55
1.70
9 389 829
2014
345.4
0.302
0.54
1.78
9 472 460
325.0
0.269
0.55
1.71
9 472 460
2015
364.9
0.314
0.54
1.80
9 566 856
337.1
0.272
0.55
1.71
9 566 856
2016
371.0
0.317
0.55
1.79
9 671 795
344.0
0.276
0.55
1.70
9 671 795
2017
373.7
0.320
0.54
1.79
9 817 562
345.4
0.277
0.55
1.71
9 817 562
2018
370.6
0.309
0.54
1.76
9 949 168
346.4
0.271
0.55
1.70
9 949 168
2019
372.9
0.311
0.54
1.77
10 063 154
350.0
0.275
0.54
1.72
10 063 154
2020
374.7
0.310
0.54
1.78
10 175 672
352.6
0.275
0.54
1.72
10 175 672
2021
398.6
0.333
0.54
1.81
10 228 643
365.8
0.285
0.54
1.74
10 228 643
2022
382.9
0.324
0.55
1.79
10 276 840
359.4
0.288
0.55
1.74
10 276 840
2023
370.3
0.310
0.55
1.80
10 324 022
356.6
0.287
0.56
1.76
10 324 022
Saved query 145148
Unchanged table
Obs:
Type of income
Disposable income is the sum of all taxable and tax-free income minus taxes and negative transfers.
Primary income is the sum of income from employment and property income (income from capital, interest receipts and dividends).
Income is both including and excluding capital gains/losses, that is, the gain/loss arising from a sale (realization) of assets, for example, stocks, mutual funds or real estate.
Incomes are equivalised, which means that the household disposable income is adjusted for household size by using a weight system. The unit of measurement is equivalised disposable income for persons.
Upon publication of statistics regarding income year 2021, a modified equivalence scale was introduced. The modified scale includes weights for children with shared residence when the parents do not live together. The modified scale is applied from the year 2011, that is, statistics for the years 2011-2020 have been revised.
Gini coefficient
The Gini coefficient measures the extent to which the distribution of income within a population deviates from a perfectly equal distribution. A coefficient of 0 expresses perfect equality where everyone has the same income, while a coefficient of 1 expresses full inequality where only one person has all the income.
At-risk-of-poverty rate
The at-risk-of-poverty rate is the share of people with an equivalised disposable income below the at-risk-of-poverty threshold, which is set at 60 % of the national median equivalised disposable income.
High economic standard
The high economic standard rate is the share of people with an equivalised disposable income higher than 200 % of the national median equivalised disposable income.
Relative median at-risk-risk-of-poverty gap
The relative median at-risk-of-poverty gap is calculated as the difference between the median equivalised disposable income of people below the at-risk-of-poverty threshold and the at-risk-of-poverty threshold, expressed as a percentage of the at-risk-of-poverty threshold (cut-off point: 60 % of national median equivalised disposable income).
The population is delimited to so-called full-year households, which refers to households where the adults have been registered in Sweden at both the beginning and the end of the year. Read more about the delimitations in the statistics quality declaration on the Statistics Sweden website.
The statistics include salaries and pension income from other Nordic countries from income year 2011. As of the publication of income year 2020, the statistics for the years 2011-2019 have been revised.
The extent of the total income from the other Nordic countries varies over time. For the years 2011–2014, data availability is limited, which is largely due to deficiencies in data from Norway. For 2011, there is basically no income from Norway. For the years 2012–2014, the macro amount for Norway is approximately half of the amount for 2015.
Further information can be found in the statistics quality declaration on Statistics Sweden website.
The statistics include shared residence for children when the parents do not live together. As of the publication of the income year 2021, the statistics for the years 2011-2020 have been revised. See the report Income Distribution Statistics and Shared Residence for further information.
Statistical methods is used to protect the data of individuals in the statistics presented. For this reason, the presented totals do not always equal the sum of their reported components. See also section 2.2.6 Model assumptions in the quality declaration documentation on Statistics Sweden’s website.
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{ "query": [ { "code": "Region", "selection": { "filter": "vs:RegionRiket99", "values": [ "00" ] } }, { "code": "InkomstTyp", "selection": { "filter": "item", "values": [ "DispInkInkl", "DispInkExkl" ] } }, { "code": "ContentsCode", "selection": { "filter": "item", "values": [ "000006Q1", "000006PO", "000006R9", "000006RE", "000006PM" ] } } ], "response": { "format": "px" } }
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