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

Migration in Congo/PB (2017–2022)

Congo/PB had a reference population (aged 5 or over in 2022) of 4,615 people. In the 2017–2022 five-year period, the municipality received 320 in-migrants and lost 280 out-migrants to other municipalities in Brazil, resulting in a net migration of +35 people (8.06 per 1,000 population) and a migration effectiveness index (IEM) of 0.062. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Congo/PB, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants320232 to 408good
Out-migrants280163 to 397use with caution
Net migration+35−112 to 182not classified
Net migration rate, TLM (per 1,000 pop.)8.06--
Migration effectiveness index (IEM)0.062--

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 Congo/PB
OriginPeoplePrecision
Santa Cruz do Capibaribe/PE · view pair in the atlas35low precision
Rio de Janeiro/RJ · view pair in the atlas20low precision
Sumé/PB · view pair in the atlas20low precision
Coxixola/PB · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Congo/PB
DestinationPeoplePrecision
Sumé/PB · view pair in the atlas40low precision
Caraúbas/PB · view pair in the atlas35low precision
Camalaú/PB · view pair in the atlas25low precision
Coxixola/PB · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth13542.2%20-49
First move from municipality of birth9529.7%20-49
Multi-step migration9028.1%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10045.5%20-49
Completed high school, incomplete higher education6027.3%20-49
Completed elementary, incomplete high school3515.9%5-19
Completed higher education2511.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage11034.4%20-49
½ to 1 minimum wage10031.2%20-49
Up to ¼ of a minimum wage6520.3%20-49
1 to 2 minimum wages309.4%5-19
More than 2 minimum wages154.7%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female6520.6%20-49
Ages 25–39, male5517.5%20-49
Ages 40–59, female4012.7%5-19
Ages 40–59, male3511.1%5-19
Ages 15–24, male309.5%5-19
Ages 5–14, male257.9%5-19
Ages 15–24, female257.9%5-19
Ages 60 and over, female206.3%5-19
Ages 5–14, female154.8%5-19
Other / suppressed51.6%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth15554.4%20-49
Multi-step migration10536.8%5-19
Return to municipality of birth258.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary7553.6%5-19
Other / suppressed4532.1%5-19
Completed high school, incomplete higher education2014.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage13548.2%20-49
¼ to ½ minimum wage5017.9%5-19
Up to ¼ of a minimum wage5017.9%5-19
Other / suppressed4516.1%5-19
Age and sex
CategoryEstimateShareSample
Other / suppressed8028.6%5-19
Ages 5–14, female5017.9%5-19
Ages 25–39, female5017.9%5-19
Ages 15–24, female4516.1%5-19
Ages 15–24, male3010.7%5-19
Ages 25–39, male258.9%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,84561.1%>=500
Completed high school, incomplete higher education61020.2%100-499
Completed elementary, incomplete high school34011.3%100-499
Completed higher education2257.5%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,63535.4%>=500
¼ to ½ minimum wage1,40530.4%100-499
Up to ¼ of a minimum wage1,08023.4%100-499
1 to 2 minimum wages4509.8%100-499
More than 2 minimum wages451.0%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female62014.5%100-499
Ages 40–59, male60514.1%100-499
Ages 25–39, female51011.9%100-499
Ages 25–39, male47511.1%100-499
Ages 60 and over, female4159.7%100-499
Ages 15–24, male3558.3%50-99
Ages 15–24, female3407.9%100-499
Ages 60 and over, male3357.8%100-499
Ages 5–14, female2906.8%100-499
Ages 5–14, male2856.6%50-99
Other / suppressed601.4%5-19

Commuting (work and study)

Commuting indicators for Congo/PB
Employed persons (aged 10 and over)1,570
Commute out to work in another municipality60
Commute in from another municipality to work here100
Net commuting+45
Out-commuting rate (%)3.74
Commuting attraction index1.022
Median commuting time60 min

Open Congo/PB 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]: Congo/PB. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/congo-pb-2504702/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.