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

Migration in Serra do Navio/AP (2017–2022)

Serra do Navio/AP had a reference population (aged 5 or over in 2022) of 4,185 people. In the 2017–2022 five-year period, the municipality received 725 in-migrants and lost 920 out-migrants to other municipalities in Brazil, resulting in a net migration of −195 people (−46.99 per 1,000 population) and a migration effectiveness index (IEM) of −0.120. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Serra do Navio/AP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants725585 to 865good
Out-migrants920518 to 1,322use with caution
Net migration−195−620 to 230not classified
Net migration rate, TLM (per 1,000 pop.)−46.99--
Migration effectiveness index (IEM)−0.120--

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 Serra do Navio/AP
OriginPeoplePrecision
Macapá/AP · view pair in the atlas230use with caution
Santana/AP · view pair in the atlas185use with caution
Pedra Branca do Amapari/AP · view pair in the atlas70low precision
Vitória do Jari/AP · view pair in the atlas20low precision
Oiapoque/AP · view pair in the atlas20low precision
Mazagão/AP · view pair in the atlas20low precision
Porto Grande/AP · view pair in the atlas20low precision
Laranjal do Jari/AP · view pair in the atlas15low precision
Afuá/PA · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Serra do Navio/AP
DestinationPeoplePrecision
Pedra Branca do Amapari/AP · view pair in the atlas290use with caution
Macapá/AP · view pair in the atlas170low precision
Santana/AP · view pair in the atlas70low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth32544.8%100-499
Multi-step migration30041.4%50-99
Return to municipality of birth9513.1%20-49
Other / suppressed50.7%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education17543.8%50-99
No schooling or incomplete elementary9523.8%20-49
Completed higher education7518.8%20-49
Completed elementary, incomplete high school5513.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage26536.6%50-99
1 to 2 minimum wages16522.8%50-99
¼ to ½ minimum wage14520.0%20-49
Up to ¼ of a minimum wage9012.4%20-49
More than 2 minimum wages608.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13518.6%20-49
Ages 25–39, male10013.8%20-49
Ages 15–24, female10013.8%20-49
Ages 5–14, male9012.4%20-49
Ages 15–24, male8511.7%20-49
Ages 40–59, male8011.0%20-49
Ages 40–59, female608.3%5-19
Ages 5–14, female557.6%5-19
Ages 60 and over, male152.1%5-19
Other / suppressed50.7%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration44048.1%50-99
First move from municipality of birth34537.7%20-49
Return to municipality of birth13014.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary15038.0%5-19
Completed high school, incomplete higher education13032.9%20-49
Completed elementary, incomplete high school6015.2%5-19
Completed higher education5513.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage32535.5%20-49
¼ to ½ minimum wage21523.5%20-49
1 to 2 minimum wages18520.2%5-19
Up to ¼ of a minimum wage16017.5%5-19
More than 2 minimum wages303.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, male17018.4%5-19
Ages 25–39, female14015.1%5-19
Ages 5–14, male13014.1%5-19
Ages 5–14, female12513.5%5-19
Ages 25–39, male10511.4%5-19
Ages 15–24, female10511.4%5-19
Ages 40–59, male555.9%5-19
Ages 40–59, female555.9%5-19
Other / suppressed404.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education93544.7%100-499
No schooling or incomplete elementary67532.3%100-499
Completed elementary, incomplete high school31515.1%100-499
Completed higher education1657.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,45536.9%100-499
¼ to ½ minimum wage89522.7%100-499
1 to 2 minimum wages84021.3%100-499
Up to ¼ of a minimum wage52013.2%100-499
More than 2 minimum wages2305.8%50-99
Age and sex
CategoryEstimateShareSample
Ages 25–39, male47513.8%100-499
Ages 40–59, male45013.0%100-499
Ages 25–39, female44512.9%100-499
Ages 40–59, female41011.9%100-499
Ages 15–24, male39011.3%100-499
Ages 5–14, male3359.7%100-499
Ages 5–14, female3359.7%100-499
Ages 15–24, female3008.7%100-499
Ages 60 and over, male1604.6%50-99
Ages 60 and over, female1504.3%50-99

Commuting (work and study)

Commuting indicators for Serra do Navio/AP
Employed persons (aged 10 and over)1,995
Commute out to work in another municipality385
Commute in from another municipality to work here325
Net commuting−60
Out-commuting rate (%)19.38
Commuting attraction index0.967
Median commuting time45 min

Open Serra do Navio/AP 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]: Serra do Navio/AP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/serra-do-navio-ap-1600055/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.