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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Umarizal/RN (2017–2022)

Umarizal/RN had a reference population (aged 5 or over in 2022) of 9,580 people. In the 2017–2022 five-year period, the municipality received 400 in-migrants and lost 895 out-migrants to other municipalities in Brazil, resulting in a net migration of −495 people (−51.56 per 1,000 population) and a migration effectiveness index (IEM) of −0.382. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Umarizal/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants400277 to 523use with caution
Out-migrants895605 to 1,185use with caution
Net migration−495−810 to −180not classified
Net migration rate, TLM (per 1,000 pop.)−51.56--
Migration effectiveness index (IEM)−0.382--

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Umarizal/RN
OriginPeoplePrecision
Mossoró/RN · view pair in the atlas45low precision
Martins/RN · view pair in the atlas35low precision
Natal/RN · view pair in the atlas30low precision
São Paulo/SP · view pair in the atlas30low precision
Fortaleza/CE · view pair in the atlas25low precision
Olho d'Água do Borges/RN · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Umarizal/RN
DestinationPeoplePrecision
Mossoró/RN · view pair in the atlas180low precision
Parnamirim/RN · view pair in the atlas135low precision
Martins/RN · view pair in the atlas50low precision
Serra do Mel/RN · view pair in the atlas35low precision
Olho d'Água do Borges/RN · view pair in the atlas15low precision
Viçosa/RN · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth20551.2%20-49
First move from municipality of birth11027.5%20-49
Multi-step migration8521.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary15050.8%20-49
Completed high school, incomplete higher education6522.0%5-19
Completed elementary, incomplete high school5016.9%5-19
Completed higher education3010.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage15037.5%20-49
Up to ¼ of a minimum wage12030.0%20-49
¼ to ½ minimum wage7017.5%5-19
1 to 2 minimum wages358.8%5-19
More than 2 minimum wages256.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male10025.3%20-49
Ages 40–59, female6516.5%5-19
Ages 25–39, female6015.2%5-19
Ages 15–24, female358.9%5-19
Ages 40–59, male307.6%5-19
Ages 5–14, female307.6%5-19
Ages 60 and over, male256.3%5-19
Ages 5–14, male205.1%5-19
Ages 15–24, male205.1%5-19
Other / suppressed102.5%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth59065.9%50-99
Multi-step migration22024.6%20-49
Return to municipality of birth859.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education25040.0%20-49
No schooling or incomplete elementary21033.6%20-49
Completed elementary, incomplete high school11017.6%5-19
Completed higher education558.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage32035.6%20-49
1 to 2 minimum wages16518.3%5-19
¼ to ½ minimum wage16518.3%20-49
More than 2 minimum wages15016.7%5-19
Up to ¼ of a minimum wage859.4%5-19
Other / suppressed151.7%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female23025.7%20-49
Ages 25–39, male18020.1%20-49
Ages 15–24, female10011.2%5-19
Ages 40–59, male859.5%5-19
Ages 5–14, male657.3%5-19
Ages 40–59, female556.1%5-19
Ages 15–24, male505.6%5-19
Ages 5–14, female505.6%5-19
Ages 60 and over, male505.6%5-19
Ages 60 and over, female303.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,38050.7%>=500
Completed high school, incomplete higher education1,78526.8%100-499
Completed elementary, incomplete high school84012.6%100-499
Completed higher education66510.0%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,11032.1%>=500
Up to ¼ of a minimum wage2,81029.0%>=500
¼ to ½ minimum wage2,23023.0%100-499
1 to 2 minimum wages1,01010.4%100-499
More than 2 minimum wages5155.3%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,37014.9%100-499
Ages 40–59, male1,27013.8%100-499
Ages 25–39, female1,09011.9%100-499
Ages 60 and over, female1,05511.5%100-499
Ages 25–39, male1,04511.4%100-499
Ages 60 and over, male8359.1%100-499
Ages 15–24, male7408.1%100-499
Ages 15–24, female6657.2%100-499
Ages 5–14, female5756.3%100-499
Ages 5–14, male5355.8%100-499

Commuting (work and study)

Commuting indicators for Umarizal/RN
Employed persons (aged 10 and over)3,000
Commute out to work in another municipality275
Commute in from another municipality to work here160
Net commuting−110
Out-commuting rate (%)9.12
Commuting attraction index0.936
Median commuting time60 min

Open Umarizal/RN in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Umarizal/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/umarizal-rn-2414506/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.