Migration in Oeiras do Pará/PA (2017–2022)

Oeiras do Pará/PA had a reference population (aged 5 or over in 2022) of 30,390 people. In the 2017–2022 five-year period, the municipality received 655 in-migrants and lost 1,270 out-migrants to other municipalities in Brazil, resulting in a net migration of −615 people (−20.16 per 1,000 population) and a migration effectiveness index (IEM) of −0.318. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Oeiras do Pará/PA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	655	389 to 921	use with caution
Out-migrants	1,270	772 to 1,768	use with caution
Net migration	−615	−1,180 to −50	not classified
Net migration rate, TLM (per 1,000 pop.)	−20.16	-	-
Migration effectiveness index (IEM)	−0.318	-	-

Sample of in-migrants: 50-99 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 Oeiras do Pará/PA
Origin	People	Precision
Curralinho/PA · view pair in the atlas	195	low precision
Belém/PA · view pair in the atlas	135	low precision
Tucuruí/PA · view pair in the atlas	60	low precision
Cametá/PA · view pair in the atlas	35	low precision
Baião/PA · view pair in the atlas	35	low precision

Top 10 destinations of out-migrants from Oeiras do Pará/PA
Destination	People	Precision
Belém/PA · view pair in the atlas	400	low precision
Cametá/PA · view pair in the atlas	210	use with caution
Curralinho/PA · view pair in the atlas	145	low precision
Bagre/PA · view pair in the atlas	60	low precision
Baião/PA · view pair in the atlas	45	low precision
Barcarena/PA · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	300	45.5%	20-49
Multi-step migration	195	29.5%	20-49
Return to municipality of birth	165	25.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	195	65.0%	20-49
Completed high school, incomplete higher education	65	21.7%	5-19
Other / suppressed	40	13.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	335	51.5%	20-49
¼ to ½ minimum wage	180	27.7%	20-49
½ to 1 minimum wage	95	14.6%	5-19
Other / suppressed	40	6.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, female	100	15.3%	5-19
Ages 25–39, male	95	14.5%	5-19
Ages 5–14, male	90	13.7%	5-19
Ages 15–24, male	85	13.0%	5-19
Ages 25–39, female	80	12.2%	5-19
Ages 15–24, female	75	11.5%	5-19
Ages 40–59, male	50	7.6%	5-19
Other / suppressed	45	6.9%	5-19
Ages 40–59, female	35	5.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	850	66.9%	50-99
Return to municipality of birth	220	17.3%	20-49
Multi-step migration	200	15.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	235	44.8%	20-49
Completed high school, incomplete higher education	155	29.5%	5-19
Completed higher education	75	14.3%	5-19
Completed elementary, incomplete high school	60	11.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	550	43.5%	20-49
½ to 1 minimum wage	245	19.4%	20-49
1 to 2 minimum wages	205	16.2%	5-19
¼ to ½ minimum wage	200	15.8%	20-49
More than 2 minimum wages	45	3.6%	5-19
Other / suppressed	20	1.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	280	22.0%	20-49
Ages 25–39, female	240	18.9%	20-49
Ages 15–24, male	210	16.5%	20-49
Ages 25–39, male	195	15.4%	5-19
Ages 5–14, female	160	12.6%	5-19
Ages 5–14, male	95	7.5%	5-19
Ages 40–59, male	50	3.9%	5-19
Other / suppressed	40	3.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	9,470	61.1%	>=500
Completed high school, incomplete higher education	2,755	17.8%	100-499
Completed elementary, incomplete high school	2,240	14.4%	100-499
Completed higher education	1,045	6.7%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	16,625	50.1%	>=500
¼ to ½ minimum wage	8,935	26.9%	>=500
½ to 1 minimum wage	5,650	17.0%	>=500
1 to 2 minimum wages	1,615	4.9%	100-499
More than 2 minimum wages	320	1.0%	20-49
Other / suppressed	30	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, male	3,825	12.9%	>=500
Ages 15–24, male	3,760	12.7%	100-499
Ages 25–39, male	3,730	12.6%	100-499
Ages 25–39, female	3,550	11.9%	100-499
Ages 5–14, female	3,340	11.2%	100-499
Ages 15–24, female	3,285	11.1%	100-499
Ages 40–59, male	2,940	9.9%	100-499
Ages 40–59, female	2,755	9.3%	100-499
Ages 60 and over, male	1,370	4.6%	100-499
Ages 60 and over, female	1,165	3.9%	100-499

Commuting (work and study)

Commuting indicators for Oeiras do Pará/PA
Employed persons (aged 10 and over)	8,340
Commute out to work in another municipality	110
Commute in from another municipality to work here	125
Net commuting	+15
Out-commuting rate (%)	1.30
Commuting attraction index	1.001
Median commuting time	60 min

Open Oeiras do Pará/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]: Oeiras do Pará/PA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/oeiras-do-para-pa-1505205/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.