The Mobile Statbank - Housing benefit by region, type of benefits, month, unit and time

Housing benefit

Region
Type of benefits
Month
Unit
Time

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All Denmark Copenhagen Frederiksberg Dragør Tårnby Albertslund Ballerup Brøndby Gentofte Gladsaxe Glostrup Herlev Hvidovre Høje-Taastrup Ishøj Lyngby-Taarbæk Rødovre Vallensbæk Allerød Egedal Fredensborg Frederikssund Furesø Gribskov Halsnæs Helsingør Hillerød Hørsholm Rudersdal Bornholm Greve Køge Lejre Roskilde Solrød Faxe Guldborgsund Holbæk Kalundborg Lolland Næstved Odsherred Ringsted Slagelse Sorø Stevns Vordingborg Assens Faaborg-Midtfyn Kerteminde Langeland Middelfart Nordfyns Nyborg Odense Svendborg Ærø Billund Esbjerg Fanø Fredericia Haderslev Kolding Sønderborg Tønder Varde Vejen Vejle Aabenraa Favrskov Hedensted Horsens Norddjurs Odder Randers Samsø Silkeborg Skanderborg Syddjurs Aarhus Herning Holstebro Ikast-Brande Lemvig Ringkøbing-Skjern Skive Struer Viborg Brønderslev Frederikshavn Hjørring Jammerbugt Læsø Mariagerfjord Morsø Rebild Thisted Vesthimmerlands Aalborg Abroad

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All types of housing benefit Housing subsidy, all housing types Housing subsidy, ordinary rental Housing subsidy, cooperative housing Housing subsidy, owner Housing subsidy, other housing Early retirees, all housing types Early retirees, ordinary rental Early retirees, cooperative housing Early retirees, owner Early retirees, other housing Early retirees, senior housing Housing allowance, all housing types Housing allowance, ordinary rental Housing allowance, cooperative housing Housing allowance, owner Housing allowance, other housing Housing allowance, senior housing

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January february March April May June July August September October November December

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Number of households Average benefit amount (DKK) Lower quantile of benefit amount (DKK) Median of benefit amount (DKK) Upper quantile of benefit amount (DKK)

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2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007

Housing benefit

This table has 5 variables including time.

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Month

If you don't choose anything from the time variable, you will automatically get the latest time period (2024)

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