"\\docType{data}\n\\encoding{utf8}\n\\name{AgeGender}\n\\alias{AgeGender}\n\\title{Ages and genders}\n\\format{A table with 3 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{Age}{Also known as: ålder, Ålder.\nA range of numeric values, taking values between 0 and 100.}\n\\item{Gender}{Also known as: kön, Kön.\nA column of factor data. Its levels are: män (a.k.a.: Men, Män, Male.), kvinnor (a.k.a.: Women, Kvinnor, Female.).}\n}}\n\\description{A table containing data on population, divided by age, gender, and municipality.}\n\\source{SCB, 2019}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{BirthRegion}\n\\alias{BirthRegion}\n\\title{Region of birth}\n\\format{A table with 4 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{Age}{Also known as: ålder, Ålder.\nA range of numeric values, taking values between 12 and 25.}\n\\item{Gender}{Also known as: kön, Kön.\nA column of factor data. Its levels are: män (a.k.a.: Men, Män, Male.), kvinnor (a.k.a.: Women, Kvinnor, Female.).}\n\\item{BirthRegion}{Also known as: födelseregion, Födelseregion.\nA column of factor data. Its levels are: Född i Sverige (a.k.a.: Sverige, Born in Sweden, Sweden.), Utrikes född (a.k.a.: Inte Sverige, Born outside Sweden, Not Sweden.).}\n}}\n\\description{A table containing data on country of birth (Sweden or not Sweden), divided by age and gender.}\n\\source{SCB, 2019}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{EducationLevel}\n\\alias{EducationLevel}\n\\title{Level of education}\n\\format{A table with 4 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{Age}{Also known as: ålder, Ålder.\nA column of factor data. Its levels are: 16-24 år (a.k.a.: 16-24.), 25-34 år (a.k.a.: 25-34.), 35-44 år (a.k.a.: 35-44.), 45-54 år (a.k.a.: 45-54.), 55-64 år (a.k.a.: 55-64.), 65-74 år (a.k.a.: 65-74.), 75-84 år (a.k.a.: 75-84.), 85-94 år (a.k.a.: 85-94.), 95+ år (a.k.a.: 95+.).}\n\\item{Gender}{Also known as: kön, Kön.\nA column of factor data. Its levels are: män (a.k.a.: Men, Män, Male.), kvinnor (a.k.a.: Women, Kvinnor, Female.).}\n\\item{EducationLevel}{Also known as: utbildningsnivå, Utbildningsnivå.\nA column of factor data. Its levels are: eftergymnasial utbildning, 3 år eller mer (a.k.a.: Tertiary education, 3+ years.), eftergymnasial utbildning, mindre än 3 år (a.k.a.: Tertiary education, less than 3 years.), forskarutbildning (a.k.a.: Postgraduate education.), förgymnasial utbildning kortare än 9 år (a.k.a.: Primary education, less than 9 years.), förgymnasial utbildning, 9 (10) år (a.k.a.: Primary education, 9 (10) years.), gymnasial utbildning, 3 år (a.k.a.: Secondary education, 3 years.), gymnasial utbildning, högst 2 år (a.k.a.: Secondary education, at most 2 years.), uppgift om utbildningsnivå saknas (a.k.a.: No information, Uppgift saknas.).}\n}}\n\\description{A table containing data on level of education, divided by age category and gender.}\n\\source{SCB, 2019}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{MunicipalIncomeStatements}\n\\alias{MunicipalIncomeStatements}\n\\title{Incomes of municipal governments}\n\\format{A table with 2 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{IncomeStatementPost}{Also known as: resultaträkningsposter, Resultaträkningspost.\nA column of factor data. Its levels are: skatteintäkter (a.k.a.: Skatteintäkter, Tax income.), generella statsbidrag och utjämning (a.k.a.: SubsidiesAndEqualisation.).}\n}}\n\\description{A table containing data on total tax income, and equalisation and subsidies, per municipality.}\n\\source{SCB, 2019}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{HighSchoolEligibility}\n\\alias{HighSchoolEligibility}\n\\title{High school eligibility}\n\\format{A table with 4 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: Municipality, Kommun.\nMunicipality the observation is from.}\n\\item{Gender}{Also known as: Gender, Kön.\nA column of factor data. Its levels are: Pojkar (a.k.a.: Men, Boys, Män, Male.), Flickor (a.k.a.: Girls, Women, Kvinnor, Female.), Samtliga (a.k.a.: Totalt, Total.).}\n\\item{SchoolOrganizer}{Also known as: SchoolOrganiser, Huvudman.\nA column of factor data. Its levels are: Kommunal (a.k.a.: Municipal.), Enskild (a.k.a.: Private.), Samtliga (a.k.a.: Totalt, Total.).}\n\\item{HighSchoolEligibility}{Also known as: Students, HSEligibility, Gymnasiebehörighet.\nA column of factor data. Its levels are: Eligible (a.k.a.: Gymnasiebehöriga, True, Behöriga.), Ineligible (a.k.a.: Gymnasieobehöriga, False, Obehöriga.), Total (a.k.a.: Samtliga, All.).}\n}}\n\\description{A table containing data on how many students graduated ninth grade, and what proportion were eligible for high school, divided by gender and organizational form (municipal or private). The original data reported total number of students and percentage ineligible for any high school program, thus the non-integer numbers of students. See the data source for more detail. Note that values less than ten for total number of students are rounded to zero, and if there are less than five ineligible students, the percentage of ineligible students was rounded to 0.}\n\\source{Skolverket: https://bit.ly/394Xtiz, School year 2018/2019}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{HouseholdSize}\n\\alias{HouseholdSize}\n\\title{Household size}\n\\format{A table with 2 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{HouseholdSize}{Also known as: hushållsstorlek, Hushållsstorlek.\nA column of factor data. Its levels are: 1 person (a.k.a.: 1.), 2 personer (a.k.a.: 2, 2 people.), 3 personer (a.k.a.: 3, 3 people.), 4 personer (a.k.a.: 4, 4 people.), 5 personer (a.k.a.: 5, 5 people.), 6 personer (a.k.a.: 6, 6 people.), 7+ personer (a.k.a.: 7+, 7+ people.), uppgift saknas (a.k.a.: Information missing.).}\n}}\n\\description{A table containing data on how many households of each given size there are in a municipality.}\n\\source{SCB, 2019}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{HousingForm}\n\\alias{HousingForm}\n\\title{Housing form}\n\\format{A table with 3 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{HousingForm}{Also known as: boendeform, Boendeform.\nA column of factor data. Its levels are: flerbostadshus, bostadsrätt (a.k.a.: Multi-home house, condo.), flerbostadshus, hyresrätt (a.k.a.: Multi-home house, rented.), småhus, bostadsrätt (a.k.a.: Small house, condo.), småhus, hyresrätt (a.k.a.: Small house, rented.), småhus, äganderätt (a.k.a.: Small house, owned.), specialbostad (a.k.a.: Special housing.), uppgift saknas (a.k.a.: No information.), övrigt boende (a.k.a.: Other, Övrigt.).}\n\\item{HouseholdType}{Also known as: hushållstyp, Hushållstyp.\nA column of factor data. Its levels are: ensamstående kvinnor -64 år utan barn (a.k.a.: Single women up to 64 without children, Single F up to 64 w.o. children.), ensamstående kvinnor 65- år utan barn (a.k.a.: Single women above 64 without children, Single F above 64 w.o. children.), ensamstående kvinnor med barn 0-24 år (a.k.a.: Single women with children, Single F w. childen.), ensamstående män -64 år utan barn (a.k.a.: Single men up to 64 without children, Single M up to 64 w.o. childen.), ensamstående män 65- år utan barn (a.k.a.: Single men above 64 without children, Single M above 64 w.o. children.), ensamstående män med barn 0-24 år (a.k.a.: Single men with children, Single M with children.), sammanboende med barn 0-24 år, 1 barn (a.k.a.: Cohabiting with one child.), sammanboende med barn 0-24 år, 2 barn (a.k.a.: Cohabiting with two children.), sammanboende med barn 0-24 år, 3+ barn (a.k.a.: Cohabiting with 3+ children.), sammanboende utan barn (a.k.a.: Cohabiting without children.), övriga hushåll med barn 0-24 år (a.k.a.: Other households with children.), övriga hushåll utan barn 0-24 år (a.k.a.: Other households without childen.).}\n}}\n\\description{A table containing data on how many households of a certain form (e.g. single male above 64, woman with child) live in a certain type of housing (e.g. condo, owned house).}\n\\source{SCB, 2019}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{Incomes}\n\\alias{Incomes}\n\\title{Incomes of individuals}\n\\format{A table with 4 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{Age}{Also known as: ålder, Ålder.\nA column of factor data. Its levels are: 16-19 år (a.k.a.: 16-19, 16-19 y.o..), 20-24 år (a.k.a.: 20-24, 20-24 y.o..), totalt 16+ år (a.k.a.: Total 16+.), totalt 20+ år (a.k.a.: Total 20+.).}\n\\item{Gender}{Also known as: kön, Kön.\nA column of factor data. Its levels are: män (a.k.a.: Men, Män, Male.), kvinnor (a.k.a.: Women, Kvinnor, Female.), totalt (a.k.a.: Totalt, Total.).}\n\\item{MeanOrMedian}{Also known as: MedTyp, MedelvärdeEllerMedian.\nA column of factor data. Its levels are: Medelvärde (a.k.a.: Mean.), Median.}\n}}\n\\description{A table containing data on mean and median income, divided by gender and some age categories.}\n\\source{SCB, 2018}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{LandUse}\n\\alias{LandUse}\n\\title{Use of land}\n\\format{A table with 2 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{LandUseType}{Also known as: markanvändningsklass, Markanvändningsklass.\nA column of factor data. Its levels are: bebyggd mark och tillhörande mark (a.k.a.: Bebyggd, Built-upon and adherent land, Buildings.), betesmark (a.k.a.: Betesmark, Pasture.), golfbanor och skidpistar (a.k.a.: Golfbanor och skidpistar, Golf courses and ski pistes.), skogsmark, improduktiv (a.k.a.: Improduktiv skogsmark, Unproductive forest.), skogsmark, produktiv (a.k.a.: Produktiv skogsmark, Productive forest.), total landareal (a.k.a.: Total area.), total skogsmark (a.k.a.: Skogsmark, Forest, Total forest.), täkter och gruvområden (a.k.a.: Täkter och gruvområden, Borrows and mines.), vatten (a.k.a.: Vatten, Water.), åkermark (a.k.a.: Åkermark, Farmland.), övrig mark (a.k.a.: Övrig mark, Other land.).}\n}}\n\\description{A table containing data on land use in each municipality.}\n\\source{SCB, 2015}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{MaritalStatus}\n\\alias{MaritalStatus}\n\\title{Marital status}\n\\format{A table with 4 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{Age}{Also known as: ålder, Ålder.\nA range of numeric values, taking values between 0 and 100.}\n\\item{Gender}{Also known as: kön, Kön.\nA column of factor data. Its levels are: män (a.k.a.: Men, Män, Male.), kvinnor (a.k.a.: Women, Kvinnor, Female.).}\n\\item{MaritalStatus}{Also known as: civilstånd, Civilstånd.\nA column of factor data. Its levels are: ogifta (a.k.a.: Unmarried, Never married, Ogifta, Aldrig gifta.), gifta (a.k.a.: Married, Gifta.), skilda (a.k.a.: Divorced, Skilda.), änkor/änklingar (a.k.a.: WidowErs, Änk(or/lingar), Spouse deceased.).}\n}}\n\\description{A table containing data on marital status, divided by age, gender, and municipality. Note that in the column Age, the value 100 actually represents all ages above 99.}\n\\source{SCB: Folkmängden efter region, civilstånd, ålder och kön. År 1968 - 2020, 2020}\n\\keyword{datasets}"
"\\docType{data}\n\\encoding{utf8}\n\\name{TaxRates}\n\\alias{TaxRates}\n\\title{Tax rates}\n\\format{A table with 2 variables, to be queried with the SCB() function.\n\\describe{\n\\item{Municipality}{Also known as: region, Kommun.\nMunicipality the observation is from.}\n\\item{MunicipalOrRegionalTax}{Also known as: Nivå, KommunEllerRegionalskatt.\nA column of factor data. Its levels are: Kommun (a.k.a.: Municipal.), Region (a.k.a.: Regional.).}\n}}\n\\description{A table containing data on municipal and regional tax rates.}\n\\source{SCB, 2019}\n\\keyword{datasets}"
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