Migration in Magalhães Barata/PA (2017–2022)

Magalhães Barata/PA had a reference population (aged 5 or over in 2022) of 7,565 people. In the 2017–2022 five-year period, the municipality received 1,060 in-migrants and lost 505 out-migrants to other municipalities in Brazil, resulting in a net migration of +550 people (72.80 per 1,000 population) and a migration effectiveness index (IEM) of 0.352. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Magalhães Barata/PA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,060	830 to 1,290	good
Out-migrants	505	293 to 717	use with caution
Net migration	+550	237 to 863	not classified
Net migration rate, TLM (per 1,000 pop.)	72.80	-	-
Migration effectiveness index (IEM)	0.352	-	-

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 Magalhães Barata/PA
Origin	People	Precision
Belém/PA · view pair in the atlas	280	use with caution
Castanhal/PA · view pair in the atlas	120	low precision
Marituba/PA · view pair in the atlas	95	low precision
Igarapé-Açu/PA · view pair in the atlas	90	low precision
Ananindeua/PA · view pair in the atlas	65	low precision
Maracanã/PA · view pair in the atlas	50	low precision
Bujaru/PA · view pair in the atlas	45	low precision
Marapanim/PA · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Magalhães Barata/PA
Destination	People	Precision
Igarapé-Açu/PA · view pair in the atlas	55	low precision
Castanhal/PA · view pair in the atlas	55	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	465	43.9%	50-99
First move from municipality of birth	305	28.8%	50-99
Return to municipality of birth	290	27.4%	50-99

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	320	46.4%	50-99
No schooling or incomplete elementary	250	36.2%	50-99
Completed elementary, incomplete high school	90	13.0%	5-19
Completed higher education	30	4.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	405	38.0%	50-99
¼ to ½ minimum wage	260	24.4%	50-99
½ to 1 minimum wage	240	22.5%	20-49
More than 2 minimum wages	70	6.6%	5-19
1 to 2 minimum wages	65	6.1%	5-19
Other / suppressed	25	2.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	155	14.6%	20-49
Ages 40–59, male	155	14.6%	20-49
Ages 25–39, male	145	13.6%	20-49
Ages 40–59, female	140	13.1%	20-49
Ages 5–14, male	130	12.2%	20-49
Ages 5–14, female	110	10.3%	20-49
Ages 15–24, female	75	7.0%	5-19
Ages 15–24, male	60	5.6%	5-19
Ages 60 and over, male	50	4.7%	5-19
Ages 60 and over, female	45	4.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	280	54.9%	20-49
Multi-step migration	165	32.4%	5-19
Return to municipality of birth	65	12.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	150	50.0%	5-19
No schooling or incomplete elementary	75	25.0%	5-19
Completed elementary, incomplete high school	40	13.3%	5-19
Other / suppressed	35	11.7%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	200	39.6%	5-19
½ to 1 minimum wage	135	26.7%	5-19
1 to 2 minimum wages	90	17.8%	5-19
Up to ¼ of a minimum wage	60	11.9%	5-19
Other / suppressed	20	4.0%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	110	21.8%	5-19
Ages 25–39, male	100	19.8%	5-19
Ages 25–39, female	90	17.8%	5-19
Ages 15–24, female	75	14.9%	5-19
Ages 40–59, female	75	14.9%	5-19
Ages 5–14, male	55	10.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,205	52.5%	100-499
Completed high school, incomplete higher education	1,160	27.6%	100-499
Completed elementary, incomplete high school	625	14.9%	100-499
Completed higher education	210	5.0%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	2,550	36.2%	>=500
¼ to ½ minimum wage	2,450	34.8%	100-499
½ to 1 minimum wage	1,410	20.0%	100-499
1 to 2 minimum wages	525	7.5%	100-499
More than 2 minimum wages	105	1.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	845	13.0%	100-499
Ages 40–59, female	780	12.0%	100-499
Ages 25–39, male	730	11.3%	100-499
Ages 25–39, female	690	10.6%	100-499
Ages 15–24, male	615	9.5%	100-499
Ages 60 and over, female	595	9.2%	100-499
Ages 5–14, female	585	9.0%	100-499
Ages 5–14, male	580	8.9%	100-499
Ages 60 and over, male	555	8.6%	100-499
Ages 15–24, female	510	7.9%	100-499

Commuting (work and study)

Commuting indicators for Magalhães Barata/PA
Employed persons (aged 10 and over)	1,930
Commute out to work in another municipality	95
Commute in from another municipality to work here	105
Net commuting	+10
Out-commuting rate (%)	4.86
Commuting attraction index	1.000
Median commuting time	90 min

Open Magalhães Barata/PA 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]: Magalhães Barata/PA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/magalhaes-barata-pa-1504109/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.