Marius Comper

Registered-domicile changes, including international migration · 3,181 localities · 1992–2025

Romania is moving, one commune at a time

INS records arrivals and departures by registered domicile in Romanian localities, including international migration. Their difference, divided by domicile population, gives an annual net rate: a balance of address registrations, not total population change. In the 2015–2024 comparison, nine of the 13 largest cities had negative average balances, while every directly bordering commune group had a higher, positive average. In a few communes near the Prut, registered domicile population rose sharply; INS links some jumps to immigration by people born in the Republic of Moldova.

+56.3‰average annual net registered-domicile-change rate in communes bordering Timișoara, 2015–2024; the city: −10.2‰
+866.2‰cumulative net registered-domicile-change balance relative to 2025 domicile population in Dumbrăvița (Timiș county)
+1,639‰net domicile-change rate in Moșna (Iași county) in 2014; its domicile population rose from 2,077 in 2014 to 6,905 in 2016
6communes in Iași, Botoșani and Vaslui where domicile population rose sharply and then fell in successive waves, 2014–2025

The map

Net registered-domicile changes, year by year

Search for a locality or click it on the map. The card shows registered-domicile arrivals and departures in the selected year, their net balance and rate relative to domicile population. The data include international migration; domicile is not the same as actual residence. Press “Play the years” to follow address-registration balances on the map from 1992 to 2025.

Loading the map…
below −30−30…−10−10…−2−2…22…1010…30above 30no data

On a small screen the map zooms with two fingers or the corner buttons; search remains the safest route.

The city and its ring

Cities and neighbouring communes: registered-domicile balances

For the 13 largest cities, we compared average annual net registered-domicile-change rates with the averages for directly bordering communes in two periods: 1995–2004 and 2015–2024. In the more recent period, nine cities had negative averages; in all 13 comparisons, the bordering-commune average was positive and higher. Bucharest and Iași had the highest positive values among the 13 cities. These indicators include international migration and describe domicile registrations, not total population change or direct moves between a city and its neighbours.

Timișoara56.3Brașov39.4Iași39.4Cluj-Napoca37.5București35.0Craiova31.3Oradea30.0Constanța22.3Sibiu19.9Târgu Mureș16.2Arad12.9Ploiești10.8Galați9.70204060
the city, 2015–2024neighbouring communes, 2015–2024
Average annual net registered-domicile-change rate, per thousand residents, 2015–2024. “Neighbouring communes” are administrative units sharing a border with the city, per SIRUTA geometry. POP307A and POP308A include international migration. Source: INS, TEMPO-Online.

The magnets and the localities emptying out

Where registered arrivals outweighed departures — and where departures outweighed arrivals

For each locality, we summed annual registered-domicile arrivals minus departures from 1992 to 2025 and divided by the 2025 domicile population. This compares a cumulative flow with the population at the end of the period; it does not show what share of people registered there in 2025 had moved there. Localities with at least 500 residents in 2025 are included.

The magnets (top 12)

  1. 1commune, Timiș county+866.222,699
  2. 2commune, Timiș county+840.627,328
  3. 3commune, Ilfov county+822.912,159
  4. 4commune, Timiș county+821.120,184
  5. 5town, Ilfov county+815.436,914
  6. 6commune, Cluj county+814.055,766
  7. 7commune, Ilfov county+796.540,647
  8. 8commune, Brașov county+790.413,754
  9. 9commune, Iași county+784.017,565
  10. 10commune, Iași county+770.733,726
  11. 11commune, Dolj county+770.38,943
  12. 12commune, Iași county+754.910,020

Emptying out (top 12)

  1. 1commune, Vâlcea county−956.61,106
  2. 2commune, Caraș-Severin county−821.4543
  3. 3commune, Dâmbovița county−759.71,968
  4. 4commune, Alba county−748.1532
  5. 5town, Harghita county−705.07,208
  6. 6commune, Vâlcea county−681.92,062
  7. 7commune, Hunedoara county−646.2783
  8. 8commune, Alba county−632.9692
  9. 9commune, Bistrița-Năsăud county−609.33,079
  10. 10commune, Buzău county−600.82,262
  11. 11commune, Sibiu county−597.53,506
  12. 12commune, Buzău county−591.9615

The figure beside each locality is its cumulative net balance relative to 2025 domicile population, per thousand; below it is the 2025 registered population. The highest positive rates are mostly in satellite communes around large cities; negative rates appear mainly in isolated or mountain communes. This flow-to-population ratio does not show what share of current residents moved there.

Annual changes

Localities with the highest annual net domicile-change rates

Four localities in Iași, Botoșani and Vaslui counties, along the border with the Republic of Moldova, recur among the highest annual net domicile-change rates. These balances include changes within Romania and from abroad; they do not measure total population change or show how many people arrived from abroad.

Highest positive annual net registered-domicile-change rates
LocalityYearRate per 1,000Net domicile-change registrationsDomicile population
commune, Iași county2014+1,639.4+3,4052,077
commune, Iași county2014+925.6+3,6683,963
commune, Vaslui county2024+664.6+9811,476
commune, Iași county2013+591.8+1,5082,548
commune, Vaslui county2023+558.5+1,1742,102
commune, Iași county2024+511.8+1,7753,468
commune, Botoșani county2021+438.6+9042,061
commune, Botoșani county2023+395.4+5651,429
commune, Botoșani county2018+384.0+1,3863,609
commune, Vaslui county2025+375.1+9392,503
commune, Botoșani county2022+369.2+1,1263,050
commune, Iași county2025+333.5+5831,748

The rate is registered-domicile arrivals minus departures per 1,000 people in the domicile-population series. The net count is the raw annual difference in registrations. Localities with a domicile population under 150 are excluded from the ranking.

Domicile records

Why did domicile-population figures rise in some communes?

From 2014 to 2025, domicile-population figures rose sharply in several communes near Moldova, and later fell in some. These records describe registered domicile, not how many people actually lived there. INS’s POP107D methodology says immigration of people born in the Republic of Moldova influenced some jumps, naming Ripiceni and Scânteia. The source does not assign that cause to all six localities.

1001502002503003501995200020052010201520202025Moșna (Iași)GrajduriScânteiaRipiceniBogdanaFerești
Registered (domicile) population, indexed to 100 in the first available year for each locality. Source: INS, POP107D.

INS explicitly warns in its POP107D methodology that immigration of people born in the Republic of Moldova influenced some jumps at Ripiceni and Scânteia. Romania’s citizenship reacquisition procedure requires applicants to declare a domicile in Romania; alongside the INS warning and the communes’ location near the border, this may explain part of the recorded increases. The aggregated series does not confirm the same cause for every commune or show whether later declines involved the same people.

The overall picture

Most localities had cumulative net domicile-change rates close to zero

The distribution of cumulative net registered-domicile changes (1992–2025), divided by 2025 domicile population, for the 3,153 localities with more than 500 residents shows a central mass close to zero and long tails in both directions — communes on city edges to the right, isolated communes to the left.

831<-100345-100/-50231-50/-20124-20/-582-5/51205/2024220/5034750/100831≥100
Number of localities in each band of cumulative net registered-domicile-change rate (per thousand, 1992–2025, relative to 2025 domicile population).

Method and limits

How everything was calculated

The source is INS, TEMPO-Online: matrices POP307A (arrivals with a new home address, including international migration) and POP308A (departures with a new home address, including international migration), by county and locality, 1990–2025; and POP107D (population by domicile, as of 1 January, all ages and sexes summed), 1992–2026. For every locality and year, the net rate is 1000 × (Arrivals − Departures) / Population. 1990–1991 are excluded from the rates because the population series starts in 1992; they are included only in the national totals.

  • "Domicile" does not mean actual residence: someone can live and work elsewhere, in another locality or another country, without changing their official address. Arrivals and departures include international migration, per INS's own definition of these matrices.
  • Localities created or reorganised after 1990 have no registered population before their creation; their series start at the first year with data, not at zero, so their creation does not read as an artificial "arrival."
  • The cumulative net rate in "Magnets" and "Distribution" divides the summed net domicile-change flow across 1992–2025 by the 2025 domicile population. It compares an accumulated flow with an end-period population; it does not show the share of people registered in 2025 who moved there or how many remained.
  • The neighbour relationships used for the city–ring comparison and for each locality's card come from the SIRUTA administrative geometry (geo-spatial.org, CC BY-SA 4.0 licence, ANCPI), the same geometry used elsewhere on this site.
  • The explanation offered for the border phenomenon (domicile tied to citizenship) is a reasonable inference from context — geographic proximity, the known legal mechanism of citizenship reacquisition, INS's own explicit warning for Ripiceni and Scânteia — not a direct, locality-by-locality confirmation from INS or another authority.

Every figure, formula and check is in the published methodology of this project.