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

Migration in Maxaranguape/RN (2017–2022)

Maxaranguape/RN had a reference population (aged 5 or over in 2022) of 9,575 people. In the 2017–2022 five-year period, the municipality received 795 in-migrants and lost 695 out-migrants to other municipalities in Brazil, resulting in a net migration of +95 people (10.13 per 1,000 population) and a migration effectiveness index (IEM) of 0.065. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 20 came from abroad.

Indicators

Migration indicators for Maxaranguape/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants795617 to 973good
Out-migrants695456 to 934use with caution
Net migration+95−203 to 393not classified
Net migration rate, TLM (per 1,000 pop.)10.13--
Migration effectiveness index (IEM)0.065--

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

Top origins and destinations

Top 10 origins of in-migrants to Maxaranguape/RN
OriginPeoplePrecision
Natal/RN · view pair in the atlas295use with caution
Ceará-Mirim/RN · view pair in the atlas110use with caution
Rio do Fogo/RN · view pair in the atlas35low precision
Parnamirim/RN · view pair in the atlas30low precision
São Gonçalo do Amarante/RN · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Maxaranguape/RN
DestinationPeoplePrecision
Ceará-Mirim/RN · view pair in the atlas165low precision
Natal/RN · view pair in the atlas125low precision
São Gonçalo do Amarante/RN · view pair in the atlas70low precision
Rio do Fogo/RN · view pair in the atlas60low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth34543.7%50-99
Multi-step migration29537.3%50-99
Return to municipality of birth14518.4%20-49
Other / suppressed50.6%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20542.3%20-49
Completed high school, incomplete higher education13527.8%20-49
Completed higher education7515.5%5-19
Completed elementary, incomplete high school7014.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage26533.1%50-99
½ to 1 minimum wage23529.4%20-49
Up to ¼ of a minimum wage12515.6%20-49
1 to 2 minimum wages11013.8%20-49
More than 2 minimum wages658.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female11013.9%20-49
Ages 25–39, male10513.3%20-49
Ages 40–59, male9512.0%5-19
Ages 25–39, female9011.4%5-19
Ages 5–14, female8010.1%5-19
Ages 40–59, female759.5%5-19
Ages 15–24, male759.5%5-19
Ages 60 and over, female708.9%5-19
Ages 60 and over, male455.7%5-19
Ages 5–14, male455.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration28040.3%20-49
First move from municipality of birth28040.3%20-49
Return to municipality of birth12017.3%5-19
Other / suppressed152.2%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary21055.3%20-49
Completed high school, incomplete higher education6517.1%5-19
Other / suppressed6015.8%<5
Completed elementary, incomplete high school4511.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21030.0%5-19
¼ to ½ minimum wage18025.7%20-49
Up to ¼ of a minimum wage12017.1%5-19
1 to 2 minimum wages11015.7%5-19
More than 2 minimum wages608.6%5-19
Other / suppressed202.9%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female12017.3%5-19
Ages 25–39, male9513.7%5-19
Ages 5–14, female9012.9%5-19
Ages 25–39, female8512.2%5-19
Other / suppressed8011.5%5-19
Ages 15–24, male8011.5%5-19
Ages 40–59, female7510.8%5-19
Ages 40–59, male456.5%5-19
Ages 5–14, male253.6%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,12055.4%>=500
Completed high school, incomplete higher education1,23021.8%100-499
Completed elementary, incomplete high school85015.1%100-499
Completed higher education4357.7%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage3,06532.5%>=500
½ to 1 minimum wage2,75529.2%>=500
Up to ¼ of a minimum wage2,43525.8%>=500
1 to 2 minimum wages8909.4%100-499
More than 2 minimum wages2803.0%20-49
Other / suppressed50.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,15513.2%100-499
Ages 40–59, female1,15013.1%100-499
Ages 25–39, female1,05512.1%100-499
Ages 25–39, male1,02011.7%100-499
Ages 15–24, male8659.9%100-499
Ages 5–14, male7808.9%100-499
Ages 15–24, female7458.5%100-499
Ages 5–14, female7208.2%100-499
Ages 60 and over, female6507.4%100-499
Ages 60 and over, male6107.0%100-499

Commuting (work and study)

Commuting indicators for Maxaranguape/RN
Employed persons (aged 10 and over)4,025
Commute out to work in another municipality540
Commute in from another municipality to work here215
Net commuting−320
Out-commuting rate (%)13.37
Commuting attraction index0.901
Median commuting time60 min

This municipality is part of Região Metropolitana de Natal → see the metropolitan region page

Open Maxaranguape/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]: Maxaranguape/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/maxaranguape-rn-2407500/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.