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

Migration in Taipu/RN (2017–2022)

Taipu/RN had a reference population (aged 5 or over in 2022) of 10,710 people. In the 2017–2022 five-year period, the municipality received 335 in-migrants and lost 765 out-migrants to other municipalities in Brazil, resulting in a net migration of −430 people (−40.08 per 1,000 population) and a migration effectiveness index (IEM) of −0.390. This classifies the municipality, for the period, as one of migratory depletion. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Taipu/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants335228 to 442use with caution
Out-migrants765517 to 1,013use with caution
Net migration−430−700 to −160not classified
Net migration rate, TLM (per 1,000 pop.)−40.08--
Migration effectiveness index (IEM)−0.390--

Sample of in-migrants: 50-99 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 Taipu/RN
OriginPeoplePrecision
Natal/RN · view pair in the atlas155use with caution
Ceará-Mirim/RN · view pair in the atlas30low precision
Poço Branco/RN · view pair in the atlas30low precision
Ielmo Marinho/RN · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Taipu/RN
DestinationPeoplePrecision
Ceará-Mirim/RN · view pair in the atlas195low precision
Natal/RN · view pair in the atlas115low precision
São Gonçalo do Amarante/RN · view pair in the atlas85low precision
Parnamirim/RN · view pair in the atlas40low precision
Poço Branco/RN · view pair in the atlas30low precision
Ielmo Marinho/RN · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration13038.8%20-49
First move from municipality of birth11534.3%20-49
Return to municipality of birth9026.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11550.0%20-49
Completed elementary, incomplete high school5021.7%5-19
Completed high school, incomplete higher education5021.7%5-19
Other / suppressed156.5%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage16548.5%20-49
½ to 1 minimum wage9026.5%5-19
Up to ¼ of a minimum wage4011.8%5-19
1 to 2 minimum wages308.8%5-19
Other / suppressed154.4%<5
Age and sex
CategoryEstimateShareSample
Ages 5–14, female5014.7%5-19
Ages 40–59, female5014.7%5-19
Other / suppressed5014.7%5-19
Ages 25–39, male5014.7%5-19
Ages 25–39, female4513.2%5-19
Ages 40–59, male4011.8%5-19
Ages 60 and over, female308.8%5-19
Ages 5–14, male257.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth43556.9%20-49
Multi-step migration23530.7%20-49
Return to municipality of birth9512.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary22544.1%20-49
Completed high school, incomplete higher education13526.5%5-19
Completed elementary, incomplete high school10520.6%5-19
Other / suppressed458.8%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage23530.5%20-49
¼ to ½ minimum wage21527.9%20-49
1 to 2 minimum wages20026.0%5-19
Up to ¼ of a minimum wage658.4%5-19
Other / suppressed557.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female15520.4%5-19
Ages 25–39, male14519.1%5-19
Ages 15–24, male10513.8%5-19
Ages 15–24, female8010.5%5-19
Ages 40–59, male658.6%5-19
Ages 60 and over, male557.2%5-19
Ages 40–59, female506.6%5-19
Other / suppressed405.3%<5
Ages 5–14, female354.6%5-19
Ages 5–14, male303.9%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,29563.1%>=500
Completed high school, incomplete higher education1,25018.4%100-499
Completed elementary, incomplete high school1,01014.8%100-499
Completed higher education2553.7%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage3,96035.8%>=500
Up to ¼ of a minimum wage3,11528.1%>=500
½ to 1 minimum wage2,96526.8%>=500
1 to 2 minimum wages8507.7%100-499
More than 2 minimum wages1801.6%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,31512.7%100-499
Ages 25–39, male1,31512.7%100-499
Ages 40–59, female1,29512.5%100-499
Ages 25–39, female1,24012.0%100-499
Ages 15–24, male9809.5%100-499
Ages 15–24, female9008.7%100-499
Ages 5–14, male8708.4%100-499
Ages 60 and over, female8658.3%100-499
Ages 5–14, female8007.7%100-499
Ages 60 and over, male7857.6%100-499

Commuting (work and study)

Commuting indicators for Taipu/RN
Employed persons (aged 10 and over)2,735
Commute out to work in another municipality700
Commute in from another municipality to work here260
Net commuting−440
Out-commuting rate (%)25.66
Commuting attraction index0.820
Median commuting time90 min

Open Taipu/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]: Taipu/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/taipu-rn-2413904/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.