Labour Force Survey, 2020
LFS-Q1, IPUMS Harmonized Subset
Italy, 2020
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Reference ID
ITA_2020_LFS-Q1_v01_M_v7.5_A_IPUMS
Producer(s)
National Institute of Statistics (ISTAT), IPUMS
Created on
Sep 03, 2025
Last modified
Sep 03, 2025
Page views
303
- Data files
- ITA2020_LFS-Q1-H-H
- ITA2020_LFS-Q1-P-H
Metropolitan city code (IT2020H_PROVCM)
Data file: ITA2020_LFS-Q1-H-H
Overview
Type:
Discrete
Start:
183
End:
185
Width:
3
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 002 | Vercelli |
| 003 | Novara |
| 004 | Cuneo |
| 005 | Asti |
| 006 | Alessandria |
| 007 | Aosta |
| 008 | Imperia |
| 009 | Savona |
| 011 | La Spezia |
| 012 | Varese |
| 013 | Como |
| 014 | Sondrio |
| 016 | Bergamo |
| 017 | Brescia |
| 018 | Pavia |
| 019 | Cremona |
| 020 | Mantova |
| 021 | Bolzano |
| 022 | Trento |
| 023 | Verona |
| 024 | Vicenza |
| 025 | Belluno |
| 026 | Treviso |
| 028 | Padova |
| 029 | Rovigo |
| 030 | Udine |
| 031 | Gorizia |
| 032 | Trieste |
| 033 | Piacenza |
| 034 | Parma |
| 035 | Reggio Nell'Emilia |
| 036 | Modena |
| 038 | Ferrara |
| 039 | Ravenna |
| 040 | Forli' |
| 041 | Pesaro |
| 042 | Ancona |
| 043 | Macerata |
| 044 | Ascoli Piceno |
| 045 | Massa |
| 046 | Lucca |
| 047 | Pistoia |
| 049 | Livorno |
| 050 | Pisa |
| 051 | Arezzo |
| 052 | Siena |
| 053 | Grosseto |
| 054 | Perugia |
| 055 | Terni |
| 056 | Viterbo |
| 057 | Rieti |
| 059 | Latina |
| 060 | Frosinone |
| 061 | Caserta |
| 062 | Benevento |
| 064 | Avellino |
| 065 | Salerno |
| 066 | L'Aquila |
| 067 | Teramo |
| 068 | Pescara |
| 069 | Chieti |
| 070 | Campobasso |
| 071 | Foggia |
| 073 | Taranto |
| 074 | Brindisi |
| 075 | Lecce |
| 076 | Potenza |
| 077 | Matera |
| 078 | Cosenza |
| 079 | Catanzaro |
| 081 | Trapani |
| 084 | Agrigento |
| 085 | Caltanissetta |
| 086 | Enna |
| 088 | Ragusa |
| 089 | Siracusa |
| 090 | Sassari |
| 091 | Nuoro |
| 093 | Pordenone |
| 094 | Isernia |
| 095 | Oristano |
| 096 | Biella |
| 097 | Lecco |
| 098 | Lodi |
| 099 | Rimini |
| 100 | Prato |
| 101 | Crotone |
| 102 | Vibo Valentia |
| 103 | Verbano-Cusio-Ossola |
| 108 | Monza e Brianza |
| 109 | Fermo |
| 110 | Barletta-Andria-Trani |
| 111 | Sud Sardegna |
| 201 | Torino |
| 210 | Genova |
| 215 | Milano |
| 227 | Venezia |
| 237 | Bologna |
| 248 | Firenze |
| 258 | Roma |
| 263 | Napoli |
| 272 | Bari |
| 280 | Reggio di Calabria |
| 282 | Palermo |
| 283 | Messina |
| 287 | Catania |
| 292 | Cagliari |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Description
Definition
This variable indicates the metropolitan city code of the household's location of residence.
Universe
Italy 2020: All households
concept
Concept