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

Migration in Patu/RN (2017–2022)

Patu/RN had a reference population (aged 5 or over in 2022) of 10,435 people. In the 2017–2022 five-year period, the municipality received 650 in-migrants and lost 955 out-migrants to other municipalities in Brazil, resulting in a net migration of −300 people (−28.98 per 1,000 population) and a migration effectiveness index (IEM) of −0.189. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Patu/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants650481 to 819good
Out-migrants955662 to 1,248use with caution
Net migration−300−638 to 38not classified
Net migration rate, TLM (per 1,000 pop.)−28.98--
Migration effectiveness index (IEM)−0.189--

Sample of in-migrants: 100-499 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 Patu/RN
OriginPeoplePrecision
Natal/RN · view pair in the atlas105use with caution
Mossoró/RN · view pair in the atlas65low precision
Almino Afonso/RN · view pair in the atlas55low precision
São Paulo/SP · view pair in the atlas50low precision
Catolé do Rocha/PB · view pair in the atlas50low precision
Parnamirim/RN · view pair in the atlas40low precision
Top 10 destinations of out-migrants from Patu/RN
DestinationPeoplePrecision
Parnamirim/RN · view pair in the atlas160low precision
Mossoró/RN · view pair in the atlas145low precision
Catolé do Rocha/PB · view pair in the atlas80low precision
São Bento/PB · view pair in the atlas55low precision
Upanema/RN · view pair in the atlas40low precision
Messias Targino/RN · view pair in the atlas30low precision
Serra do Mel/RN · view pair in the atlas30low precision
Olho d'Água do Borges/RN · view pair in the atlas15low precision
Rafael Godeiro/RN · view pair in the atlas10low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth23536.2%20-49
Return to municipality of birth22033.8%20-49
Multi-step migration19530.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17039.5%20-49
Completed high school, incomplete higher education13030.2%20-49
Completed higher education7517.4%5-19
Completed elementary, incomplete high school5512.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage20531.5%20-49
½ to 1 minimum wage18027.7%20-49
¼ to ½ minimum wage15023.1%20-49
1 to 2 minimum wages6510.0%5-19
More than 2 minimum wages507.7%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female10516.3%20-49
Ages 25–39, male9514.7%5-19
Ages 25–39, female9014.0%5-19
Ages 15–24, female7511.6%5-19
Ages 5–14, female558.5%5-19
Ages 5–14, male558.5%5-19
Ages 60 and over, male507.8%5-19
Ages 60 and over, female457.0%5-19
Ages 40–59, male457.0%5-19
Ages 15–24, male304.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth60563.4%50-99
Multi-step migration25026.2%20-49
Return to municipality of birth10010.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary26542.4%20-49
Completed high school, incomplete higher education17027.2%20-49
Completed higher education13020.8%5-19
Completed elementary, incomplete high school609.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage26527.9%20-49
½ to 1 minimum wage22023.2%20-49
Up to ¼ of a minimum wage19020.0%20-49
1 to 2 minimum wages14014.7%5-19
More than 2 minimum wages13514.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male17518.4%20-49
Ages 25–39, female14014.7%5-19
Ages 40–59, female14014.7%20-49
Ages 15–24, male12012.6%5-19
Ages 5–14, male10010.5%5-19
Ages 40–59, male10010.5%5-19
Ages 15–24, female606.3%5-19
Ages 5–14, female454.7%5-19
Ages 60 and over, male353.7%5-19
Other / suppressed353.7%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,81055.9%>=500
Completed high school, incomplete higher education1,57523.1%100-499
Completed elementary, incomplete high school90513.3%100-499
Completed higher education5307.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,18030.7%>=500
¼ to ½ minimum wage2,90528.1%>=500
Up to ¼ of a minimum wage2,64525.6%>=500
1 to 2 minimum wages1,20011.6%100-499
More than 2 minimum wages4204.1%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,50515.4%100-499
Ages 40–59, male1,35513.9%100-499
Ages 25–39, female1,09511.2%100-499
Ages 25–39, male1,04010.6%100-499
Ages 60 and over, female1,00510.3%100-499
Ages 15–24, male8258.4%100-499
Ages 60 and over, male8158.3%100-499
Ages 15–24, female7657.8%100-499
Ages 5–14, male7157.3%100-499
Ages 5–14, female6606.7%100-499

Commuting (work and study)

Commuting indicators for Patu/RN
Employed persons (aged 10 and over)3,435
Commute out to work in another municipality155
Commute in from another municipality to work here200
Net commuting+45
Out-commuting rate (%)4.50
Commuting attraction index0.949
Median commuting time40 min

Open Patu/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]: Patu/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/patu-rn-2409308/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.