Income structure for equivalised disposable income for households by region, type of income, Indicator, observations and year [Tab10InkStrukt]

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Updated on DBnomics on April 11, 2022 (12:50 PM)

region [Region]
type of income [Inkomstkomponenter]
Indicator [Inkomstsum]
observations [ContentsCode]

Dataset has 75,504 series. Add search filters to narrow them.

Dimension codes and labels
[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
[Inkomstkomponenter] type of income
  • [300] wage and business income
  • [305] capital income
  • [310] pensions
  • [315] sickness and activity compensation
  • [320] sickness compensation, parental allowance, labour market assistance etc.
  • [325] general allowance
  • [330] housing allowance
  • [335] social assistance
  • [340] taxes
  • [350] other negative transfers
  • [220] disposable income
[Inkomstsum] Indicator
  • [D0] All persons
  • [D1] Decile 1
  • [D2] Decile 2
  • [D3] Decile 3
  • [D4] Decile 4
  • [D5] Decile 5
  • [D6] Decile 6
  • [D7] Decile 7
  • [D8] Decile 8
  • [D9] Decile 9
  • [D10] Decile 10
[ContentsCode] observations
  • [HE0110BH] Mean value, SEK thousands
  • [HE0110BL] Percent
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