[Tab2InkDesoN] Income structure net income by region, type of income, sex, observations and year

Name: Income structure net income by region, type of income, sex, observations and year
Creator: DBnomics

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

Documentation

[Region] region

[0114A0010] 0114A0010
[0114C1010] 0114C1010
[0114C1020] 0114C1020
[0114C1030] 0114C1030
[0114C1040] 0114C1040
[0114C1050] 0114C1050
[0114C1060] 0114C1060
[0114C1070] 0114C1070
[0114C1080] 0114C1080
[0114C1090] 0114C1090
[0114C1100] 0114C1100
[0114C1110] 0114C1110
[0114C1120] 0114C1120
[0114C1130] 0114C1130
[0114C1140] 0114C1140
[0114C1150] 0114C1150
[0114C1160] 0114C1160
[0114C1170] 0114C1170
[0114C1180] 0114C1180
[0114C1190] 0114C1190
[0114C1200] 0114C1200
[0114C1210] 0114C1210
[0114C1220] 0114C1220
[0115A0010] 0115A0010
[0115A0020] 0115A0020
[0115A0030] 0115A0030
[0115A0040] 0115A0040
[0115B2010] 0115B2010
[0115B3010] 0115B3010
[0115C1010] 0115C1010
[0115C1020] 0115C1020
[0115C1030] 0115C1030
[0115C1040] 0115C1040
[0115C1050] 0115C1050
[0115C1060] 0115C1060
[0115C1070] 0115C1070
[0115C1080] 0115C1080
[0115C1090] 0115C1090
[0115C1100] 0115C1100
[0115C1110] 0115C1110
[0115C1120] 0115C1120
[0115C1130] 0115C1130
[0117A0010] 0117A0010
[0117A0020] 0117A0020
[0117A0030] 0117A0030
[0117C1010] 0117C1010
[0117C1020] 0117C1020
[0117C1030] 0117C1030
[0117C1040] 0117C1040
[0117C1050] 0117C1050
[0117C1060] 0117C1060
[0117C1070] 0117C1070
[0117C1080] 0117C1080
[0117C1090] 0117C1090
[0117C1100] 0117C1100
[0117C1110] 0117C1110
[0117C1120] 0117C1120
[0117C1130] 0117C1130
[0117C1140] 0117C1140
[0117C1150] 0117C1150
[0117C1160] 0117C1160
[0117C1170] 0117C1170
[0117C1180] 0117C1180
[0117C1190] 0117C1190
[0117C1200] 0117C1200
[0120A0010] 0120A0010
[0120C1010] 0120C1010
[0120C1020] 0120C1020
[0120C1030] 0120C1030
[0120C1040] 0120C1040
[0120C1050] 0120C1050
[0120C1060] 0120C1060
[0120C1070] 0120C1070
[0120C1080] 0120C1080
[0120C1090] 0120C1090

[Inkomstkomponenter] type of income

[10] wage
[30] business income
[230] capital income
[70] pensions
[80] sickness and activity compensation
[90] sickness compensation
[100] parental allowance
[110] labour market assistance
[120] other taxable transfers
[140] national child allowance
[150] study grants including study loans
[160] housing allowance
[170] social assistance
[180] other tax-free transfers
[200] taxes and public co-payments
[350] other negative transfers
[240] net income

[Kon] sex

[1] men
[2] women
[1+2] total

[ContentsCode] observations

[000005FW] Mean value, SEK thousands
[000005FU] Share with income, percent
[000005FV] Number of persons

Search filters

region [Region] (75)

type of income [Inkomstkomponenter] (17)

sex [Kon] (3)

observations [ContentsCode] (3)

This dataset has 1,477,827 series:

Trim NA Values

Series code	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
[00.100.1+2.000005FV]	7306209	7379407	7455136	7538086	7611402	7704547	7780727	7850943	7923859	7964921
[00.100.1+2.000005FW]	4.4	4.5	4.7	4.7	4.8	4.9	5	5.1	5.1	5.1
[00.100.1.000005FU]	13	13	13	13	14	14	14	15	15	15
[00.100.1.000005FV]	3608288	3647119	3688007	3734828	3777069	3831110	3873312	3912421	3955838	3979121
[00.100.1.000005FW]	2.9	3	3.2	3.2	3.4	3.5	3.7	3.8	3.8	3.9
[00.100.2.000005FU]	16	16	16	17	17	17	18	18	18	18
[00.100.2.000005FV]	3697921	3732288	3767129	3803258	3834333	3873437	3907415	3938522	3968021	3985800
[00.100.2.000005FW]	5.9	5.9	6.2	6.1	6.2	6.3	6.4	6.4	6.3	6.4
[00.110.1+2.000005FU]	6	6	7	6	6	5	5	5	5	6
[00.110.1+2.000005FV]	7306209	7379407	7455136	7538086	7611402	7704547	7780727	7850943	7923859	7964921

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