[BO0601T01] The ratio of assessed values of comparable agriculture and forestry units compared with the year before assessment by region, type of property, observations and year

Name: The ratio of assessed values of comparable agriculture and forestry units compared with the year before assessment by region, type of property, observations and year
Creator: DBnomics

Updated on DBnomics on April 6, 2022 (11:25 AM).

Documentation

[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
[1438] Dals-Ed
[1439] Färgelanda
[1440] Ale
[1441] Lerum
[1442] Vårgårda
[1443] Bollebygd
[1444] Grästorp
[1445] Essunga
[1446] Karlsborg
[1447] Gullspång
[1452] Tranemo
[1460] Bengtsfors
[1461] Mellerud
[1462] Lilla Edet
[1463] Mark
[1465] Svenljunga
[1466] Herrljunga
[1470] Vara
[1471] Götene
[1472] Tibro
[1473] Töreboda
[1480] Göteborg
[1481] Mölndal
[1482] Kungälv
[1484] Lysekil
[1485] Uddevalla
[1486] Strömstad
[1487] Vänersborg
[1488] Trollhättan
[1489] Alingsås
[1490] Borås
[1491] Ulricehamn
[1492] Åmål
[1493] Mariestad
[1494] Lidköping
[1495] Skara
[1496] Skövde
[1497] Hjo
[1498] Tidaholm
[1499] Falköping
[17] Värmland county
[1715] Kil
[1730] Eda
[1737] Torsby
[1760] Storfors
[1761] Hammarö
[1762] Munkfors
[1763] Forshaga
[1764] Grums
[1765] Årjäng
[1766] Sunne
[1780] Karlstad
[1781] Kristinehamn
[1782] Filipstad
[1783] Hagfors
[1784] Arvika
[1785] Säffle
[18] Örebro county
[1814] Lekeberg
[1860] Laxå
[1861] Hallsberg
[1862] Degerfors
[1863] Hällefors
[1864] Ljusnarsberg
[1880] Örebro
[1881] Kumla
[1882] Askersund
[1883] Karlskoga
[1884] Nora
[1885] Lindesberg
[19] Västmanland county
[1904] Skinnskatteberg
[1907] Surahammar
[1960] Kungsör
[1961] Hallstahammar
[1962] Norberg
[1980] Västerås
[1981] Sala
[1982] Fagersta
[1983] Köping
[1984] Arboga
[20] Dalarna county
[2021] Vansbro
[2023] Malung-Sälen
[2026] Gagnef
[2029] Leksand
[2031] Rättvik
[2034] Orsa
[2039] Älvdalen
[2061] Smedjebacken
[2062] Mora
[2080] Falun
[2081] Borlänge
[2082] Säter
[2083] Hedemora
[2084] Avesta
[2085] Ludvika
[21] Gävleborg county
[2101] Ockelbo
[2104] Hofors
[2121] Ovanåker
[2132] Nordanstig
[2161] Ljusdal
[2180] Gävle
[2181] Sandviken
[2182] Söderhamn
[2183] Bollnäs
[2184] Hudiksvall
[22] Västernorrland county
[2260] Ånge
[2262] Timrå
[2280] Härnösand
[2281] Sundsvall
[2282] Kramfors
[2283] Sollefteå
[2284] Örnsköldsvik
[23] Jämtland county
[2303] Ragunda
[2305] Bräcke
[2309] Krokom
[2313] Strömsund
[2321] Åre
[2326] Berg
[2361] Härjedalen
[2380] Östersund
[24] Västerbotten county
[2401] Nordmaling
[2403] Bjurholm
[2404] Vindeln
[2409] Robertsfors
[2417] Norsjö
[2418] Malå
[2421] Storuman
[2422] Sorsele
[2425] Dorotea
[2460] Vännäs
[2462] Vilhelmina
[2463] Åsele
[2480] Umeå
[2481] Lycksele
[2482] Skellefteå
[25] Norrbotten county
[2505] Arvidsjaur
[2506] Arjeplog
[2510] Jokkmokk
[2513] Överkalix
[2514] Kalix
[2518] Övertorneå
[2521] Pajala
[2523] Gällivare
[2560] Älvsbyn
[2580] Luleå
[2581] Piteå
[2582] Boden
[2583] Haparanda
[2584] Kiruna

[Typkod] type of property

[Tot] Total
[110] Unbuilt unit for agriculture and forestry
[120] Built-up unit for agriculture and forestry

[ContentsCode] observations

[0000016S] Number of assessed units
[0000016Q] Weighted change compared with the previous year
[0000016R] Unweighted change compared with the previous year

Search filters

region [Region] (312)

type of property [Typkod] (3)

observations [ContentsCode] (3)

This dataset has 2,808 series:

Trim NA Values

Series code	2008	2011	2014	2017	2020
[01.110.0000016R]	1.448	1.596	1.169	1.06	1.13
[01.110.0000016S]	1629	1704	1816	1854	1820
[01.120.0000016Q]	1.391	1.281	1.067	1.04	1.176
[01.120.0000016R]	1.394	1.242	1.058	1.069	1.191
[01.120.0000016S]	3674	4215	4065	4106	4200
[01.Tot.0000016Q]	1.395	1.312	1.072	1.029	1.171
[01.Tot.0000016R]	1.411	1.344	1.092	1.066	1.173
[01.Tot.0000016S]	5303	5919	5881	5960	6020
[0114.110.0000016Q]	1.353	1.541	1.151	1.007	1.146
[0114.110.0000016R]	1.281	1.493	1.168	1.048	1.154

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