Migration in Belém do São Francisco/PE (2017–2022)

Belém do São Francisco/PE had a reference population (aged 5 or over in 2022) of 16,985 people. In the 2017–2022 five-year period, the municipality received 865 in-migrants and lost 1,585 out-migrants to other municipalities in Brazil, resulting in a net migration of −720 people (−42.53 per 1,000 population) and a migration effectiveness index (IEM) of −0.295. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Belém do São Francisco/PE, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	865	618 to 1,112	good
Out-migrants	1,585	1,108 to 2,062	use with caution
Net migration	−720	−1,257 to −183	not classified
Net migration rate, TLM (per 1,000 pop.)	−42.53	-	-
Migration effectiveness index (IEM)	−0.295	-	-

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 Belém do São Francisco/PE
Origin	People	Precision
Abaré/BA · view pair in the atlas	115	low precision
Petrolina/PE · view pair in the atlas	85	low precision
Recife/PE · view pair in the atlas	75	low precision
Salgueiro/PE · view pair in the atlas	70	low precision
Carnaubeira da Penha/PE · view pair in the atlas	65	low precision
Floresta/PE · view pair in the atlas	60	low precision
Santa Maria da Boa Vista/PE · view pair in the atlas	55	low precision

Top 10 destinations of out-migrants from Belém do São Francisco/PE
Destination	People	Precision
Petrolina/PE · view pair in the atlas	495	use with caution
Floresta/PE · view pair in the atlas	105	low precision
Casa Nova/BA · view pair in the atlas	80	low precision
Abaré/BA · view pair in the atlas	50	low precision
Rodelas/BA · view pair in the atlas	45	low precision
Salgueiro/PE · view pair in the atlas	40	low precision
Itacuruba/PE · view pair in the atlas	30	low precision
Carnaubeira da Penha/PE · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	385	44.3%	20-49
First move from municipality of birth	320	36.8%	20-49
Multi-step migration	150	17.2%	5-19
Other / suppressed	15	1.7%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	215	39.8%	20-49
Completed high school, incomplete higher education	190	35.2%	5-19
Completed elementary, incomplete high school	85	15.7%	5-19
Completed higher education	50	9.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	280	32.6%	20-49
¼ to ½ minimum wage	270	31.4%	20-49
½ to 1 minimum wage	185	21.5%	5-19
1 to 2 minimum wages	80	9.3%	5-19
Other / suppressed	45	5.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	160	18.5%	5-19
Ages 25–39, female	140	16.2%	5-19
Ages 15–24, female	130	15.0%	5-19
Ages 40–59, female	95	11.0%	5-19
Ages 25–39, male	90	10.4%	5-19
Ages 15–24, male	80	9.2%	5-19
Ages 5–14, male	70	8.1%	5-19
Other / suppressed	60	6.9%	5-19
Ages 5–14, female	40	4.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	965	60.7%	100-499
Multi-step migration	500	31.4%	50-99
Return to municipality of birth	125	7.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	370	38.5%	20-49
Completed high school, incomplete higher education	285	29.7%	20-49
Completed higher education	225	23.4%	20-49
Completed elementary, incomplete high school	80	8.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	565	35.8%	50-99
¼ to ½ minimum wage	425	26.9%	50-99
Up to ¼ of a minimum wage	260	16.5%	20-49
1 to 2 minimum wages	195	12.3%	20-49
More than 2 minimum wages	100	6.3%	5-19
Other / suppressed	35	2.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	305	19.3%	20-49
Ages 15–24, female	255	16.1%	20-49
Ages 40–59, male	200	12.7%	20-49
Ages 40–59, female	185	11.7%	20-49
Ages 25–39, female	185	11.7%	20-49
Ages 15–24, male	185	11.7%	20-49
Ages 5–14, male	105	6.6%	5-19
Ages 5–14, female	75	4.7%	5-19
Ages 60 and over, female	70	4.4%	5-19
Other / suppressed	15	0.9%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,205	50.8%	>=500
Completed high school, incomplete higher education	2,655	25.9%	100-499
Completed higher education	1,470	14.3%	100-499
Completed elementary, incomplete high school	920	9.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	5,130	29.4%	>=500
½ to 1 minimum wage	4,885	28.0%	100-499
¼ to ½ minimum wage	4,865	27.9%	>=500
1 to 2 minimum wages	1,865	10.7%	100-499
More than 2 minimum wages	695	4.0%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	2,110	13.1%	100-499
Ages 40–59, male	1,960	12.2%	100-499
Ages 25–39, male	1,840	11.4%	100-499
Ages 25–39, female	1,840	11.4%	100-499
Ages 15–24, male	1,630	10.1%	100-499
Ages 60 and over, female	1,430	8.9%	100-499
Ages 5–14, female	1,425	8.8%	100-499
Ages 5–14, male	1,410	8.7%	100-499
Ages 15–24, female	1,410	8.7%	100-499
Ages 60 and over, male	1,070	6.6%	100-499

Commuting (work and study)

Commuting indicators for Belém do São Francisco/PE
Employed persons (aged 10 and over)	6,785
Commute out to work in another municipality	285
Commute in from another municipality to work here	630
Net commuting	+345
Out-commuting rate (%)	4.20
Commuting attraction index	1.043
Median commuting time	60 min

Open Belém do São Francisco/PE 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]: Belém do São Francisco/PE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/belem-do-sao-francisco-pe-2601607/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.