Population. Number by region, age, sex, observations and year [LE0105Mottagna03]

Documentation on provider website

Updated on DBnomics on February 22, 2023 (11:00 AM)

region [Region]
age [Alder]
sex [Kon]
observations [ContentsCode]

Dataset has 277,992 series. Add search filters to narrow them.

Dimension codes and labels
[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
[Alder] age
  • [-4] 0-4 years
  • [00-04] 0-4 years
  • [5-9] 5-9 years
  • [5-14] 5-14 years
  • [10-14] 10-14 years
  • [15-19] 15-19 years
  • [15-24] 15-24 years
  • [20-24] 20-24 years
  • [25-29] 25-29 years
  • [25-34] 25-34 years
  • [30-34] 30-34 years
  • [35-39] 35-39 years
  • [35-44] 35-44 years
  • [40-44] 40-44 years
  • [45-49] 45-49 years
  • [45-54] 45-54 years
  • [50-54] 50-54 years
  • [55-59] 55-59 years
  • [55-64] 55-64 years
  • [60-64] 60-64 years
  • [65-69] 65-69 years
  • [65-74] 65-74 years
  • [70-74] 70-74 years
  • [75-79] 75-79 years
  • [75-84] 75-84 years
  • [80-84] 80-84 years
  • [85-89] 85-89 years
  • [85-94] 85-94 years
  • [90-94] 90-94 years
  • [95-99] 95-99 years
  • [95+] 95+ years
  • [100+] 100+ years
  • [totalt] total
[Kon] sex
  • [TOT2] total
  • [100] women
  • [200] men
[ContentsCode] observations
  • [000004TP] Inbound migration
  • [000004TT] Outbound migration
  • [000004TN] Immigration
  • [000004TL] Emigration
  • [000004TM] Migration surplus
  • [000004TO] Immigration surplus
  • [000004TR] Internal inbound migration
  • [000004TS] Internal outbound migration
  • [000004TQ] Internal migration surplus
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