Migration in Bonito/PA (2017–2022)

Bonito/PA had a reference population (aged 5 or over in 2022) of 11,690 people. In the 2017–2022 five-year period, the municipality received 735 in-migrants and lost 740 out-migrants to other municipalities in Brazil, resulting in a net migration of −5 people (−0.43 per 1,000 population) and a migration effectiveness index (IEM) of −0.003. This classifies the municipality, for the period, as one of migratory depletion. In addition, 45 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Bonito/PA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	735	561 to 909	good
Out-migrants	740	442 to 1,038	use with caution
Net migration	−5	−350 to 340	not classified
Net migration rate, TLM (per 1,000 pop.)	−0.43	-	-
Migration effectiveness index (IEM)	−0.003	-	-

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 Bonito/PA
Origin	People	Precision
Belém/PA · view pair in the atlas	140	use with caution
Capanema/PA · view pair in the atlas	85	low precision
Ourém/PA · view pair in the atlas	35	low precision
Santa Maria do Pará/PA · view pair in the atlas	30	low precision
Nova Timboteua/PA · view pair in the atlas	30	low precision
Paragominas/PA · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Bonito/PA
Destination	People	Precision
Capanema/PA · view pair in the atlas	115	low precision
Ourém/PA · view pair in the atlas	50	low precision
São Miguel do Guamá/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	405	55.1%	50-99
Multi-step migration	215	29.3%	20-49
Return to municipality of birth	115	15.6%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	265	63.1%	50-99
Completed high school, incomplete higher education	80	19.0%	5-19
Completed elementary, incomplete high school	45	10.7%	5-19
Completed higher education	30	7.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	255	34.9%	20-49
½ to 1 minimum wage	205	28.1%	20-49
Up to ¼ of a minimum wage	175	24.0%	20-49
1 to 2 minimum wages	75	10.3%	5-19
More than 2 minimum wages	20	2.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	125	17.0%	20-49
Ages 25–39, female	120	16.3%	20-49
Ages 40–59, male	95	12.9%	20-49
Ages 25–39, male	95	12.9%	5-19
Ages 15–24, male	70	9.5%	5-19
Ages 40–59, female	65	8.8%	5-19
Ages 5–14, female	65	8.8%	5-19
Ages 5–14, male	55	7.5%	5-19
Ages 60 and over, female	25	3.4%	5-19
Other / suppressed	20	2.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	375	50.7%	20-49
First move from municipality of birth	280	37.8%	20-49
Return to municipality of birth	85	11.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	200	54.8%	5-19
No schooling or incomplete elementary	120	32.9%	5-19
Other / suppressed	45	12.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	335	45.3%	20-49
¼ to ½ minimum wage	210	28.4%	5-19
Up to ¼ of a minimum wage	110	14.9%	5-19
1 to 2 minimum wages	75	10.1%	5-19
Other / suppressed	10	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	150	20.3%	5-19
Ages 25–39, male	145	19.6%	5-19
Ages 15–24, female	110	14.9%	5-19
Ages 5–14, female	100	13.5%	5-19
Ages 5–14, male	85	11.5%	5-19
Ages 15–24, male	75	10.1%	5-19
Ages 40–59, female	45	6.1%	5-19
Other / suppressed	30	4.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,395	62.7%	>=500
Completed high school, incomplete higher education	1,710	24.4%	100-499
Completed elementary, incomplete high school	550	7.8%	100-499
Completed higher education	355	5.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	4,385	37.1%	>=500
½ to 1 minimum wage	3,840	32.4%	>=500
Up to ¼ of a minimum wage	2,355	19.9%	100-499
1 to 2 minimum wages	935	7.9%	100-499
More than 2 minimum wages	320	2.7%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,480	13.6%	100-499
Ages 40–59, male	1,445	13.2%	100-499
Ages 25–39, female	1,410	12.9%	100-499
Ages 40–59, female	1,315	12.1%	100-499
Ages 15–24, male	1,060	9.7%	100-499
Ages 15–24, female	995	9.1%	100-499
Ages 5–14, male	925	8.5%	100-499
Ages 5–14, female	915	8.4%	100-499
Ages 60 and over, male	735	6.7%	100-499
Ages 60 and over, female	630	5.8%	100-499

Commuting (work and study)

Commuting indicators for Bonito/PA
Employed persons (aged 10 and over)	4,430
Commute out to work in another municipality	245
Commute in from another municipality to work here	400
Net commuting	+155
Out-commuting rate (%)	5.51
Commuting attraction index	1.020
Median commuting time	60 min

Open Bonito/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]: Bonito/PA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/bonito-pa-1501600/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.