[LAPSKvSNI2007ny] Information from employers monthly tax returns, business sector by industrial classification NACE Rev. 2, observations and quarter
Updated on DBnomics on February 22, 2023 (11:00 AM).
[SNI2007] industrial classification NACE Rev. 2
- [A-Uinkl00] total, incl. industry unknown
- [A] companies in agriculture, forestry and fishing
- [B] mines and quarries
- [C] manufacturing industry
- [10-12] food product, beverage and tobacco industry
- [13-15] textiles, clothing, leather industries
- [16] industry for wood and products of wood, cork, cane etc. , except furniture
- [17] industry for paper and paper products
- [18] printers; other industry for recorded media
- [19-21] manufacture of refined petroleum, chemical industry and pharmaceutical industry
- [22] industry for rubber and plastic products
- [23] industry for other non-metallic mineral products
- [24] industry for basic metals
- [25] industry for fabricated metal products, except machinery and equipment
- [26] industry for computer, electronic and optical products
- [27] industry for electrical equipment
- [28] industry for machinery and equipment n.e.c.
- [29] industry for motor vehicles, trailers and semi-trailers
- [30] industry for other transport equipment
- [31] furniture industry
- [32] other manufacturing industry
- [33] repair shops and installation companies for machinery and equipment
- [D] electricity, gas, steam and hot water plants
- [E] water works; sewage plants, waste-disposal plants
- [F] construction industry
- [41] construction developers
- [42] civil engineering contractors
- [43] contractors for specialised construction activities
- [G] trade; repair establishments for motor vehicles and motorcycles
- [45] sales and repair establishments for motor vehicles and motorcycles
- [46] wholesale trade, except of motor vehicles
- [47] retail trade, except of motor vehicles and motorcycles
- [H] transport and storage companies
- [49] land transport companies and pipeline transport companies
- [50-51] transport by water and air
- [52] warehousing companies and service companies supporting transport
- [53] postal and courier companies
- [I] hotels and restaurants
- [J] information and communication companies
- [58] publishers
- [59-60] motion picture, video and television programme production, programming and broadcasting activities
- [61] telecommunications companies
- [62] computer programming and consultancy companies etc.
- [63] information service companies
- [K] financial institutions and insurance companies
- [64] banks and other financial institutions
- [65] insurance and reinsurance companies, pension funds
- [66] service companies auxiliary to financial intermediation and insurance, reinsurance and pension funding
- [L] real estate companies
- [M] professional, scientific and technical companies
- [69] legal and accounting firms
- [70] head offices; management consultancy companies
- [71] architect´s offices, technical consultancy companies, companies for technical testing and analysis
- [72] institutes for scientific research and development
- [73-75] advertising and market research and other professional consultants
- [N] administrative and support service companies
- [77] renting companies
- [78] employment placement agencies, temporary employment agencies etc.
- [79] travel agencies and tour operators; tourist assistance agencies
- [80] security service companies, detective agencies
- [81] facility support and landscape service companies
- [82] office administrative, office support and other business support companies
- [P] educational establishments
- [Q] human health and social work establishments
- [86] human health establishments
- [87-88] social work and care activities
- [R] establishments for arts, entertainment and recreation
- [S] other service companies
[ContentsCode] observations
- [000000F9] Gross pay, millions SEK
- [000000F5] Payroll tax, millions SEK
- [000000F7] Preliminary tax, millions SEK
- [000000FA] Gross pay, annual percentage change
- [000000F6] Payroll taxes, annual percentage change
- [000000F8] Preliminary tax, annual percentage change
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industrial classification NACE Rev. 2 [SNI2007] (68)
observations [ContentsCode] (6)
This dataset has 408 series:
- from
- 2008-Q1=1,277
- to
- 2021-Q4=1,630
- min:
- 1,226
- max:
- 1,749
- avg:
- 1,456.375
- σ:
- 151.278
- from
- 2008-Q1=NA
- to
- 2021-Q4=2.3
- min:
- -15.7
- max:
- 20.4
- avg:
- 1.887
- σ:
- 4.389
- from
- 2008-Q1=1,219
- to
- 2021-Q4=1,495
- min:
- 1,151
- max:
- 1,644
- avg:
- 1,365.5
- σ:
- 122.211
- from
- 2008-Q1=NA
- to
- 2021-Q4=4.9
- min:
- -3.7
- max:
- 6.6
- avg:
- 1.612
- σ:
- 2.559
- from
- 2008-Q1=4,089
- to
- 2021-Q4=5,361
- min:
- 4,089
- max:
- 5,762
- avg:
- 4,837.804
- σ:
- 436.816
- from
- 2008-Q1=NA
- to
- 2021-Q4=4.6
- min:
- -1.9
- max:
- 6
- avg:
- 2.01
- σ:
- 1.488
- from
- 2008-Q1=178
- to
- 2021-Q4=170
- min:
- 119
- max:
- 194
- avg:
- 160.5
- σ:
- 11.952
- from
- 2008-Q1=NA
- to
- 2021-Q4=2.5
- min:
- -33.6
- max:
- 48.9
- avg:
- -0.083
- σ:
- 9.529
- from
- 2008-Q1=162
- to
- 2021-Q4=154
- min:
- 125
- max:
- 178
- avg:
- 145.732
- σ:
- 10.274
- from
- 2008-Q1=NA
- to
- 2021-Q4=2.8
- min:
- -12.7
- max:
- 8.1
- avg:
- -0.421
- σ:
- 4.666
Series code | 2008-Q1 | 2008-Q2 | 2008-Q3 | 2008-Q4 | 2009-Q1 | 2009-Q2 | 2009-Q3 | 2009-Q4 | 2010-Q1 | 2010-Q2 | 2010-Q3 | 2010-Q4 | 2011-Q1 | 2011-Q2 | 2011-Q3 | 2011-Q4 | 2012-Q1 | 2012-Q2 | 2012-Q3 | 2012-Q4 | 2013-Q1 | 2013-Q2 | 2013-Q3 | 2013-Q4 | 2014-Q1 | 2014-Q2 | 2014-Q3 | 2014-Q4 | 2015-Q1 | 2015-Q2 | 2015-Q3 | 2015-Q4 | 2016-Q1 | 2016-Q2 | 2016-Q3 | 2016-Q4 | 2017-Q1 | 2017-Q2 | 2017-Q3 | 2017-Q4 | 2018-Q1 | 2018-Q2 | 2018-Q3 | 2018-Q4 | 2019-Q1 | 2019-Q2 | 2019-Q3 | 2019-Q4 | 2020-Q1 | 2020-Q2 | 2020-Q3 | 2020-Q4 | 2021-Q1 | 2021-Q2 | 2021-Q3 | 2021-Q4 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[10-12.000000F5] | 1277 | 1380 | 1371 | 1284 | 1233 | 1324 | 1306 | 1226 | 1247 | 1322 | 1299 | 1232 | 1263 | 1355 | 1354 | 1267 | 1305 | 1409 | 1384 | 1291 | 1339 | 1443 | 1422 | 1327 | 1347 | 1446 | 1432 | 1345 | 1369 | 1473 | 1502 | 1425 | 1440 | 1565 | 1619 | 1499 | 1517 | 1640 | 1661 | 1528 | 1546 | 1679 | 1696 | 1573 | 1589 | 1724 | 1714 | 1596 | 1551 | 1453 | 1687 | 1594 | 1613 | 1749 | 1695 | 1630 |
[10-12.000000F6] | NA | NA | NA | NA | -3.4 | -4.1 | -4.7 | -4.5 | 1.1 | -0.1 | -0.5 | 0.5 | 1.2 | 2.5 | 4.2 | 2.8 | 3.3 | 4 | 2.2 | 1.9 | 2.7 | 2.4 | 2.8 | 2.8 | 0.5 | 0.2 | 0.7 | 1.4 | 1.7 | 1.8 | 4.9 | 5.9 | 5.1 | 6.3 | 7.8 | 5.2 | 5.4 | 4.8 | 2.6 | 1.9 | 1.9 | 2.4 | 2.1 | 2.9 | 2.8 | 2.7 | 1.1 | 1.5 | -2.4 | -15.7 | -1.6 | -0.1 | 4 | 20.4 | 0.5 | 2.3 |
[10-12.000000F7] | 1219 | 1329 | 1294 | 1214 | 1190 | 1291 | 1264 | 1169 | 1178 | 1276 | 1232 | 1151 | 1198 | 1292 | 1297 | 1200 | 1239 | 1349 | 1321 | 1219 | 1274 | 1388 | 1370 | 1261 | 1261 | 1385 | 1360 | 1271 | 1297 | 1413 | 1386 | 1326 | 1364 | 1463 | 1455 | 1359 | 1432 | 1511 | 1497 | 1386 | 1421 | 1554 | 1526 | 1424 | 1444 | 1578 | 1540 | 1431 | 1505 | 1542 | 1502 | 1424 | 1483 | 1644 | 1574 | 1495 |
[10-12.000000F8] | NA | NA | NA | NA | -2.3 | -2.9 | -2.3 | -3.7 | -1 | -1.1 | -2.5 | -1.5 | 1.7 | 1.2 | 5.2 | 4.2 | 3.4 | 4.5 | 1.9 | 1.6 | 2.8 | 2.9 | 3.7 | 3.4 | -1 | -0.3 | -0.8 | 0.8 | 2.8 | 2.1 | 2 | 4.4 | 5.2 | 3.5 | 5 | 2.5 | 5 | 3.3 | 2.9 | 2 | -0.7 | 2.8 | 2 | 2.7 | 1.6 | 1.5 | 0.9 | 0.5 | 4.2 | -2.2 | -2.4 | -0.5 | -1.5 | 6.6 | 4.8 | 4.9 |
[10-12.000000F9] | 4089 | 4432 | 4454 | 4122 | 4167 | 4491 | 4540 | 4168 | 4204 | 4480 | 4517 | 4195 | 4263 | 4603 | 4723 | 4320 | 4402 | 4783 | 4809 | 4383 | 4508 | 4886 | 4934 | 4506 | 4542 | 4898 | 4978 | 4585 | 4635 | 5015 | 5047 | 4664 | 4687 | 5077 | 5183 | 4802 | 4865 | 5263 | 5316 | 4894 | 4960 | 5389 | 5429 | 5037 | 5098 | 5539 | 5535 | 5136 | 5237 | 5434 | 5453 | 5127 | 5268 | 5762 | 5722 | 5361 |
[10-12.000000FA] | NA | NA | NA | NA | 1.9 | 1.3 | 1.9 | 1.1 | 0.9 | -0.2 | -0.5 | 0.7 | 1.4 | 2.7 | 4.6 | 3 | 3.3 | 3.9 | 1.8 | 1.5 | 2.4 | 2.2 | 2.6 | 2.8 | 0.7 | 0.2 | 0.9 | 1.8 | 2 | 2.4 | 1.4 | 1.7 | 1.1 | 1.2 | 2.7 | 3 | 3.8 | 3.7 | 2.6 | 1.9 | 2 | 2.4 | 2.1 | 2.9 | 2.8 | 2.8 | 1.9 | 2 | 2.7 | -1.9 | -1.5 | -0.2 | 0.6 | 6 | 4.9 | 4.6 |
[13-15.000000F5] | 178 | 194 | 181 | 176 | 158 | 169 | 160 | 162 | 154 | 170 | 162 | 163 | 149 | 163 | 157 | 156 | 148 | 159 | 151 | 152 | 143 | 155 | 148 | 149 | 141 | 153 | 144 | 147 | 146 | 158 | 152 | 154 | 155 | 169 | 164 | 165 | 155 | 169 | 163 | 164 | 160 | 171 | 165 | 165 | 168 | 179 | 173 | 170 | 151 | 119 | 165 | 166 | 166 | 177 | 167 | 170 |
[13-15.000000F6] | NA | NA | NA | NA | -11.3 | -12.7 | -11.5 | -8.1 | -2.8 | 0.7 | 1.3 | 1.1 | -2.7 | -4.5 | -3.1 | -4.7 | -0.9 | -2 | -3.8 | -2.5 | -3.6 | -2.7 | -2 | -2.2 | -1 | -1.6 | -2.3 | -0.8 | 3.3 | 3.8 | 5.7 | 4.3 | 6.4 | 6.7 | 7.5 | 7.1 | 0 | 0 | -0.6 | -0.4 | 2.7 | 1.2 | 1.6 | 0.7 | 5 | 4.9 | 4.5 | 3.2 | -9.7 | -33.6 | -4.5 | -2.5 | 9.6 | 48.9 | 1.1 | 2.5 |
[13-15.000000F7] | 162 | 178 | 163 | 160 | 142 | 156 | 145 | 149 | 135 | 153 | 144 | 149 | 133 | 147 | 140 | 142 | 133 | 145 | 134 | 138 | 128 | 141 | 133 | 136 | 125 | 138 | 127 | 133 | 133 | 146 | 135 | 136 | 140 | 153 | 144 | 147 | 140 | 154 | 144 | 147 | 144 | 155 | 147 | 148 | 150 | 162 | 154 | 153 | 152 | 154 | 145 | 149 | 153 | 163 | 150 | 154 |
[13-15.000000F8] | NA | NA | NA | NA | -12.2 | -12.7 | -11.3 | -6.9 | -4.8 | -1.4 | -0.8 | -0.3 | -1.5 | -4.4 | -2.4 | -4.9 | -0.1 | -1 | -4.3 | -2.4 | -3.9 | -2.7 | -1 | -1.5 | -2 | -2.6 | -4.1 | -2.7 | 6 | 6.3 | 6.3 | 2.2 | 5.6 | 4.8 | 6.6 | 8.1 | -0.3 | 0.3 | -0.4 | 0 | 3.3 | 0.7 | 2.1 | 0.9 | 3.8 | 4.3 | 5.3 | 3.2 | 1.1 | -5 | -5.8 | -2.1 | 0.6 | 6.3 | 3 | 2.8 |
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