[29_316_DF_DCIS_POPSTRBIL1_12] Umbria
Updated on DBnomics on December 20, 2023 (9:44 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [054001] Assisi
- [054002] Bastia Umbra
- [054003] Bettona
- [054004] Bevagna
- [054005] Campello sul Clitunno
- [054006] Cannara
- [054007] Cascia
- [054008] Castel Ritaldi
- [054009] Castiglione del Lago
- [054010] Cerreto di Spoleto
- [054011] Citerna
- [054012] Città della Pieve
- [054013] Città di Castello
- [054014] Collazzone
- [054015] Corciano
- [054016] Costacciaro
- [054017] Deruta
- [054018] Foligno
- [054019] Fossato di Vico
- [054020] Fratta Todina
- [054021] Giano dell'Umbria
- [054022] Gualdo Cattaneo
- [054023] Gualdo Tadino
- [054024] Gubbio
- [054025] Lisciano Niccone
- [054026] Magione
- [054027] Marsciano
- [054028] Massa Martana
- [054029] Monte Castello di Vibio
- [054030] Montefalco
- [054031] Monteleone di Spoleto
- [054032] Monte Santa Maria Tiberina
- [054033] Montone
- [054034] Nocera Umbra
- [054035] Norcia
- [054036] Paciano
- [054037] Panicale
- [054038] Passignano sul Trasimeno
- [054039] Perugia
- [054040] Piegaro
- [054041] Pietralunga
- [054042] Poggiodomo
- [054043] Preci
- [054044] San Giustino
- [054045] Sant'Anatolia di Narco
- [054046] Scheggia e Pascelupo
- [054047] Scheggino
- [054048] Sellano
- [054049] Sigillo
- [054050] Spello
- [054051] Spoleto
- [054052] Todi
- [054053] Torgiano
- [054054] Trevi
- [054055] Tuoro sul Trasimeno
- [054056] Umbertide
- [054057] Valfabbrica
- [054058] Vallo di Nera
- [054059] Valtopina
- [055001] Acquasparta
- [055002] Allerona
- [055003] Alviano
- [055004] Amelia
- [055005] Arrone
- [055006] Attigliano
- [055007] Baschi
- [055008] Calvi dell'Umbria
- [055009] Castel Giorgio
- [055010] Castel Viscardo
- [055011] Fabro
- [055012] Ferentillo
- [055013] Ficulle
- [055014] Giove
- [055015] Guardea
- [055016] Lugnano in Teverina
- [055017] Montecastrilli
- [055018] Montecchio
- [055019] Montefranco
- [055020] Montegabbione
- [055021] Monteleone d'Orvieto
- [055022] Narni
- [055023] Orvieto
- [055024] Otricoli
- [055025] Parrano
- [055026] Penna in Teverina
- [055027] Polino
- [055028] Porano
- [055029] San Gemini
- [055030] San Venanzo
- [055031] Stroncone
- [055032] Terni
- [055033] Avigliano Umbro
- [ITE2] Umbria
- [ITE21] Perugia
- [ITE22] Terni
[DATA_TYPE] Indicator
- [ACQCITIZ] foreigners who acquired Italian citizenship
- [FBLOTHR] foreign population balance for other reasons from registry office
- [FDEATH] foreign deaths
- [FDEC_CP] foreign population on 31st December
- [FDEREGM] foreign emigrants to other municipalities
- [FDERGOTHC] foreign emigrants to other countries
- [FDEROTHR] foreign deregistrations for other reasons
- [FHOUSMEMB_CP] foreign resident population in private household on 31st December
- [FIDECTR] foreign increase or decrease due to territorial changes
- [FINTNMIG] foreign population international net migration
- [FINTRNMIGR] foreign population internal net migration from registry office
- [FJAN] foreign census population on 1st January
- [FLBIRTH] foreign live births
- [FNATGR] foreign population natural increase
- [FNETMIG] foreign population net migration
- [FNMIGRAT] foreign population net migration and balance for other reasons from registry office
- [FPOPCOM_CP] foreign resident population in institutional household on 31st December
- [FREGM] foreign immigrants from other municipalities
- [FREGOTHC] foreign registrations from other countries
- [FREGOTHR] foreign registrations for other reasons
- [FREGSTAD_CP] foreign-statistical adjustment from new calculation methodology
- [FSTAT_ADJUST] foreigners-statistical adjustment
- [FTOCESTAD_CP] foreigners-total census balance
- [FTOTAL_BAL] foreigners-total balance
- [FTOTBAL_CP] foreign population total balance (natural, net migration and for other reasons)
- [TFDEREG_TOT] total foreign deregistrations from registry office
- [TFREG_TOT] total foreign registrations from registry office
[SEX] Gender
- [1] males
- [2] females
- [9] total
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (95)
Indicator [DATA_TYPE] (27)
Gender [SEX] (3)
This dataset has 7,695 series:
- from
- 2019=78
- to
- 2022=78
- min:
- 25
- max:
- 78
- avg:
- 52.75
- σ:
- 18.793
- from
- 2019=111
- to
- 2022=111
- min:
- 29
- max:
- 111
- avg:
- 54.5
- σ:
- 33.627
- from
- 2019=189
- to
- 2022=189
- min:
- 54
- max:
- 189
- avg:
- 107.25
- σ:
- 50.415
- from
- 2019=-28
- to
- 2021=-28
- min:
- -28
- max:
- 2
- avg:
- -8.667
- σ:
- 13.695
- from
- 2019=-55
- to
- 2021=-55
- min:
- -55
- max:
- 1
- avg:
- -18
- σ:
- 26.166
- from
- 2019=-83
- to
- 2021=-83
- min:
- -83
- max:
- 3
- avg:
- -26.667
- σ:
- 39.853
- from
- 2019=2
- to
- 2022=2
- min:
- 1
- max:
- 3
- avg:
- 2.25
- σ:
- 0.829
- from
- 2019=5
- to
- 2022=5
- min:
- 0
- max:
- 5
- avg:
- 2.5
- σ:
- 1.803
- from
- 2019=7
- to
- 2022=7
- min:
- 1
- max:
- 7
- avg:
- 4.75
- σ:
- 2.278
- from
- 2019=1098
- to
- 2022=1098
- min:
- 1,098
- max:
- 1,250
- avg:
- 1,177.25
- σ:
- 54.348
Series code | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|
[A.054001.ACQCITIZ.1] | 55 | 53 | 25 | 78 |
[A.054001.ACQCITIZ.2] | 49 | 29 | 29 | 111 |
[A.054001.ACQCITIZ.9] | 104 | 82 | 54 | 189 |
[A.054001.FBLOTHR.1] | 2 | 0 | -28 | - |
[A.054001.FBLOTHR.2] | 1 | 0 | -55 | - |
[A.054001.FBLOTHR.9] | 3 | 0 | -83 | - |
[A.054001.FDEATH.1] | 1 | 3 | 3 | 2 |
[A.054001.FDEATH.2] | 0 | 3 | 2 | 5 |
[A.054001.FDEATH.9] | 1 | 6 | 5 | 7 |
[A.054001.FDEC_CP.1] | 1250 | 1191 | 1170 | 1098 |
Showing results 1 - 10 / 7,695