Migration in Bannach/PA (2017–2022)

Bannach/PA had a reference population (aged 5 or over in 2022) of 3,695 people. In the 2017–2022 five-year period, the municipality received 580 in-migrants and lost 400 out-migrants to other municipalities in Brazil, resulting in a net migration of +180 people (49.04 per 1,000 population) and a migration effectiveness index (IEM) of 0.185. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Bannach/PA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	580	454 to 706	good
Out-migrants	400	212 to 588	use with caution
Net migration	+180	−46 to 406	not classified
Net migration rate, TLM (per 1,000 pop.)	49.04	-	-
Migration effectiveness index (IEM)	0.185	-	-

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 Bannach/PA
Origin	People	Precision
Rio Maria/PA · view pair in the atlas	110	use with caution
Xinguara/PA · view pair in the atlas	45	low precision
Redenção/PA · view pair in the atlas	40	low precision
Ourilândia do Norte/PA · view pair in the atlas	35	low precision
São Félix do Xingu/PA · view pair in the atlas	35	low precision
Tucumã/PA · view pair in the atlas	30	low precision
Cumaru do Norte/PA · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Bannach/PA
Destination	People	Precision
Floresta do Araguaia/PA · view pair in the atlas	85	low precision
Pau D'Arco/PA · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	315	54.3%	50-99
First move from municipality of birth	250	43.1%	50-99
Other / suppressed	15	2.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	175	55.6%	50-99
Completed high school, incomplete higher education	70	22.2%	5-19
Completed elementary, incomplete high school	40	12.7%	5-19
Completed higher education	30	9.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	180	31.0%	50-99
½ to 1 minimum wage	175	30.2%	50-99
1 to 2 minimum wages	120	20.7%	20-49
Up to ¼ of a minimum wage	85	14.7%	20-49
More than 2 minimum wages	20	3.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	95	16.4%	20-49
Ages 15–24, female	90	15.5%	20-49
Ages 25–39, female	85	14.7%	20-49
Ages 40–59, male	60	10.3%	20-49
Ages 15–24, male	60	10.3%	5-19
Ages 5–14, male	60	10.3%	5-19
Ages 5–14, female	60	10.3%	5-19
Ages 40–59, female	40	6.9%	5-19
Ages 60 and over, male	20	3.4%	5-19
Other / suppressed	10	1.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	330	82.5%	20-49
First move from municipality of birth	45	11.2%	5-19
Other / suppressed	25	6.2%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	46.3%	5-19
Completed high school, incomplete higher education	45	22.0%	5-19
Completed higher education	40	19.5%	5-19
Other / suppressed	25	12.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	125	31.6%	5-19
Up to ¼ of a minimum wage	105	26.6%	5-19
¼ to ½ minimum wage	65	16.5%	5-19
Other / suppressed	50	12.7%	<5
½ to 1 minimum wage	50	12.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	115	28.8%	5-19
Ages 25–39, male	85	21.2%	5-19
Ages 15–24, female	60	15.0%	5-19
Ages 5–14, male	50	12.5%	5-19
Ages 40–59, female	45	11.2%	5-19
Ages 15–24, male	45	11.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,335	66.9%	100-499
Completed high school, incomplete higher education	340	17.0%	100-499
Completed elementary, incomplete high school	210	10.5%	50-99
Completed higher education	110	5.5%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,050	30.5%	100-499
¼ to ½ minimum wage	900	26.1%	100-499
Up to ¼ of a minimum wage	665	19.3%	100-499
1 to 2 minimum wages	595	17.3%	100-499
More than 2 minimum wages	210	6.1%	50-99
Not applicable (collective dwelling)	25	0.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	465	15.0%	100-499
Ages 40–59, female	390	12.6%	100-499
Ages 25–39, male	380	12.2%	100-499
Ages 25–39, female	355	11.4%	100-499
Ages 5–14, male	320	10.3%	100-499
Ages 15–24, male	310	10.0%	50-99
Ages 5–14, female	250	8.1%	50-99
Ages 15–24, female	235	7.6%	50-99
Ages 60 and over, male	225	7.2%	50-99
Ages 60 and over, female	175	5.6%	50-99

Commuting (work and study)

Commuting indicators for Bannach/PA
Employed persons (aged 10 and over)	1,520
Commute out to work in another municipality	10
Commute in from another municipality to work here	110
Net commuting	+100
Out-commuting rate (%)	0.80
Commuting attraction index	1.058
Median commuting time	28 min

Open Bannach/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]: Bannach/PA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/bannach-pa-1501253/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.