[Tab1DispInkN] Income inequality indicators by region, type of income, observations and year
Updated on DBnomics on April 11, 2022 (12:50 PM).
[Region] region
- [00] Sweden
- [01] Stockholm county
- [0114] Upplands Väsby
- [0115] Vallentuna
- [0117] Österåker
- [0120] Värmdö
- [0123] Järfälla
- [0125] Ekerö
- [0126] Huddinge
- [0127] Botkyrka
- [0128] Salem
- [0136] Haninge
- [0138] Tyresö
- [0139] Upplands-Bro
- [0140] Nykvarn
- [0160] Täby
- [0162] Danderyd
- [0163] Sollentuna
- [0180] Stockholm
- [0181] Södertälje
- [0182] Nacka
- [0183] Sundbyberg
- [0184] Solna
- [0186] Lidingö
- [0187] Vaxholm
- [0188] Norrtälje
- [0191] Sigtuna
- [0192] Nynäshamn
- [03] Uppsala county
- [0305] Håbo
- [0319] Älvkarleby
- [0330] Knivsta
- [0331] Heby
- [0360] Tierp
- [0380] Uppsala
- [0381] Enköping
- [0382] Östhammar
- [04] Södermanland county
- [0428] Vingåker
- [0461] Gnesta
- [0480] Nyköping
- [0481] Oxelösund
- [0482] Flen
- [0483] Katrineholm
- [0484] Eskilstuna
- [0486] Strängnäs
- [0488] Trosa
- [05] Östergötland county
- [0509] Ödeshög
- [0512] Ydre
- [0513] Kinda
- [0560] Boxholm
- [0561] Åtvidaberg
- [0562] Finspång
- [0563] Valdemarsvik
- [0580] Linköping
- [0581] Norrköping
- [0582] Söderköping
- [0583] Motala
- [0584] Vadstena
- [0586] Mjölby
- [06] Jönköping county
- [0604] Aneby
- [0617] Gnosjö
- [0642] Mullsjö
- [0643] Habo
- [0662] Gislaved
- [0665] Vaggeryd
- [0680] Jönköping
- [0682] Nässjö
- [0683] Värnamo
- [0684] Sävsjö
- [0685] Vetlanda
- [0686] Eksjö
- [0687] Tranås
- [07] Kronoberg county
- [0760] Uppvidinge
- [0761] Lessebo
- [0763] Tingsryd
- [0764] Alvesta
- [0765] Älmhult
- [0767] Markaryd
- [0780] Växjö
- [0781] Ljungby
- [08] Kalmar county
- [0821] Högsby
- [0834] Torsås
- [0840] Mörbylånga
- [0860] Hultsfred
- [0861] Mönsterås
- [0862] Emmaboda
- [0880] Kalmar
- [0881] Nybro
- [0882] Oskarshamn
- [0883] Västervik
- [0884] Vimmerby
- [0885] Borgholm
- [09] Gotland county
- [0980] Gotland
- [10] Blekinge county
- [1060] Olofström
- [1080] Karlskrona
- [1081] Ronneby
- [1082] Karlshamn
- [1083] Sölvesborg
- [12] Skåne county
- [1214] Svalöv
- [1230] Staffanstorp
- [1231] Burlöv
- [1233] Vellinge
- [1256] Östra Göinge
- [1257] Örkelljunga
- [1260] Bjuv
- [1261] Kävlinge
- [1262] Lomma
- [1263] Svedala
- [1264] Skurup
- [1265] Sjöbo
- [1266] Hörby
- [1267] Höör
- [1270] Tomelilla
- [1272] Bromölla
- [1273] Osby
- [1275] Perstorp
- [1276] Klippan
- [1277] Åstorp
- [1278] Båstad
- [1280] Malmö
- [1281] Lund
- [1282] Landskrona
- [1283] Helsingborg
- [1284] Höganäs
- [1285] Eslöv
- [1286] Ystad
- [1287] Trelleborg
- [1290] Kristianstad
- [1291] Simrishamn
- [1292] Ängelholm
- [1293] Hässleholm
- [13] Halland county
- [1315] Hylte
- [1380] Halmstad
- [1381] Laholm
- [1382] Falkenberg
- [1383] Varberg
- [1384] Kungsbacka
- [14] Västra Götaland county
- [1401] Härryda
- [1402] Partille
- [1407] Öckerö
- [1415] Stenungsund
- [1419] Tjörn
- [1421] Orust
- [1427] Sotenäs
- [1430] Munkedal
- [1435] Tanum
[InkomstTyp] type of income
- [FastInkIn] equivalised primary income including capital gains
- [FastInkEx] equivalised primary income excluding capital gains
- [DispInkInkl] equivalised disposable income including capital gains
- [DispInkExkl] equivalised disposable income excluding capital gains
[ContentsCode] observations
- [000002VY] Median value, SEK thousands
- [000002VX] Mean value, SEK thousands
- [000002VW] Gini coefficient
- [000002VZ] At-risk-of-poverty rate, percent
- [000002W0] High economic standard, percent
- [000002W1] Median at-risk-of-poverty gap, percent
- [000002W2] P80/P20
- [000002W3] P90/P10
- [000002W4] P95/P05
- [000002W5] P05/P50
- [000002W6] P10/P50
- [000002W7] P20/P50
- [000002W8] P80/P50
- [000002W9] P90/P50
- [000002WA] P95/P50
- [000002WB] Number of persons
Search filters
region [Region] (156)
type of income [InkomstTyp] (4)
observations [ContentsCode] (16)
This dataset has 19,968 series:
- from
- 2011=0.264
- to
- 2020=0.277
- min:
- 0.264
- max:
- 0.278
- avg:
- 0.272
- σ:
- 0.005
- from
- 2011=249.4
- to
- 2020=294.1
- min:
- 249.4
- max:
- 294.1
- avg:
- 277.07
- σ:
- 15.187
- from
- 2011=226.8
- to
- 2020=262.7
- min:
- 226.8
- max:
- 262.7
- avg:
- 248.66
- σ:
- 12.031
- from
- 2011=13.4
- to
- 2020=14.3
- min:
- 13.2
- max:
- 14.5
- avg:
- 13.81
- σ:
- 0.413
- from
- 2011=5
- to
- 2020=5.4
- min:
- 5
- max:
- 5.4
- avg:
- 5.13
- σ:
- 0.127
- from
- 2011=19.4
- to
- 2020=18.9
- min:
- 18
- max:
- 19.4
- avg:
- 18.67
- σ:
- 0.48
- from
- 2011=2.1
- to
- 2020=2.15
- min:
- 2.09
- max:
- 2.15
- avg:
- 2.124
- σ:
- 0.021
- from
- 2011=3.1
- to
- 2020=3.2
- min:
- 3.09
- max:
- 3.2
- avg:
- 3.129
- σ:
- 0.037
- from
- 2011=4.53
- to
- 2020=4.64
- min:
- 4.46
- max:
- 4.64
- avg:
- 4.537
- σ:
- 0.053
- from
- 2011=0.44
- to
- 2020=0.44
- min:
- 0.44
- max:
- 0.45
- avg:
- 0.444
- σ:
- 0.005
Series code | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|---|---|---|
[00.DispInkExkl.000002VW] | 0.264 | 0.265 | 0.265 | 0.27 | 0.273 | 0.278 | 0.278 | 0.272 | 0.276 | 0.277 |
[00.DispInkExkl.000002VX] | 249.4 | 257.2 | 262.1 | 271 | 281.1 | 286.9 | 288 | 288.9 | 292 | 294.1 |
[00.DispInkExkl.000002VY] | 226.8 | 233.1 | 237 | 243.9 | 251.6 | 254.9 | 256.4 | 259 | 261.2 | 262.7 |
[00.DispInkExkl.000002VZ] | 13.4 | 13.3 | 13.2 | 13.7 | 13.9 | 13.7 | 14.2 | 13.9 | 14.5 | 14.3 |
[00.DispInkExkl.000002W0] | 5 | 5 | 5 | 5.2 | 5.2 | 5.1 | 5.2 | 5 | 5.2 | 5.4 |
[00.DispInkExkl.000002W1] | 19.4 | 19.2 | 19.2 | 18.8 | 18.1 | 18 | 18.2 | 18.3 | 18.6 | 18.9 |
[00.DispInkExkl.000002W2] | 2.1 | 2.1 | 2.09 | 2.13 | 2.14 | 2.12 | 2.14 | 2.12 | 2.15 | 2.15 |
[00.DispInkExkl.000002W3] | 3.1 | 3.09 | 3.09 | 3.13 | 3.13 | 3.1 | 3.14 | 3.12 | 3.19 | 3.2 |
[00.DispInkExkl.000002W4] | 4.53 | 4.51 | 4.5 | 4.55 | 4.52 | 4.46 | 4.55 | 4.49 | 4.62 | 4.64 |
[00.DispInkExkl.000002W5] | 0.44 | 0.44 | 0.45 | 0.44 | 0.45 | 0.45 | 0.44 | 0.45 | 0.44 | 0.44 |
Showing results 1 - 10 / 19,968