Migration in São Francisco do Pará/PA (2017–2022)

São Francisco do Pará/PA had a reference population (aged 5 or over in 2022) of 13,850 people. In the 2017–2022 five-year period, the municipality received 915 in-migrants and lost 780 out-migrants to other municipalities in Brazil, resulting in a net migration of +135 people (9.61 per 1,000 population) and a migration effectiveness index (IEM) of 0.079. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Francisco do Pará/PA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	915	695 to 1,135	good
Out-migrants	780	532 to 1,028	use with caution
Net migration	+135	−196 to 466	not classified
Net migration rate, TLM (per 1,000 pop.)	9.61	-	-
Migration effectiveness index (IEM)	0.079	-	-

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 São Francisco do Pará/PA
Origin	People	Precision
Castanhal/PA · view pair in the atlas	210	use with caution
Belém/PA · view pair in the atlas	135	use with caution
Igarapé-Açu/PA · view pair in the atlas	75	low precision
Ananindeua/PA · view pair in the atlas	40	low precision
Santa Maria do Pará/PA · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from São Francisco do Pará/PA
Destination	People	Precision
Castanhal/PA · view pair in the atlas	170	low precision
Igarapé-Açu/PA · view pair in the atlas	155	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	455	50.0%	50-99
Multi-step migration	305	33.5%	50-99
Return to municipality of birth	145	15.9%	20-49
Other / suppressed	5	0.5%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	250	45.0%	20-49
Completed high school, incomplete higher education	155	27.9%	20-49
Completed elementary, incomplete high school	110	19.8%	5-19
Completed higher education	40	7.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	325	35.5%	50-99
Up to ¼ of a minimum wage	285	31.1%	20-49
½ to 1 minimum wage	165	18.0%	20-49
1 to 2 minimum wages	100	10.9%	5-19
More than 2 minimum wages	40	4.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	130	14.3%	20-49
Ages 25–39, male	125	13.7%	20-49
Ages 15–24, female	120	13.2%	20-49
Ages 25–39, female	100	11.0%	5-19
Ages 40–59, female	95	10.4%	5-19
Ages 5–14, female	90	9.9%	5-19
Ages 5–14, male	80	8.8%	5-19
Ages 15–24, male	65	7.1%	5-19
Ages 60 and over, male	55	6.0%	5-19
Ages 60 and over, female	50	5.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	365	46.8%	20-49
First move from municipality of birth	250	32.1%	20-49
Return to municipality of birth	165	21.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	175	36.1%	5-19
Completed high school, incomplete higher education	145	29.9%	5-19
Completed higher education	85	17.5%	5-19
Completed elementary, incomplete high school	80	16.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	330	42.3%	20-49
1 to 2 minimum wages	180	23.1%	5-19
¼ to ½ minimum wage	125	16.0%	5-19
Up to ¼ of a minimum wage	80	10.3%	5-19
More than 2 minimum wages	50	6.4%	5-19
Other / suppressed	15	1.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	160	20.6%	5-19
Ages 15–24, female	155	20.0%	5-19
Ages 25–39, male	140	18.1%	5-19
Ages 40–59, male	80	10.3%	5-19
Ages 5–14, male	55	7.1%	5-19
Ages 15–24, male	50	6.5%	5-19
Other / suppressed	50	6.5%	5-19
Ages 40–59, female	45	5.8%	5-19
Ages 60 and over, male	40	5.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,510	52.5%	>=500
Completed high school, incomplete higher education	2,265	26.4%	100-499
Completed elementary, incomplete high school	1,320	15.4%	100-499
Completed higher education	500	5.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	4,405	31.5%	>=500
¼ to ½ minimum wage	4,260	30.5%	>=500
½ to 1 minimum wage	3,795	27.2%	>=500
1 to 2 minimum wages	1,160	8.3%	100-499
More than 2 minimum wages	345	2.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,755	13.6%	100-499
Ages 40–59, male	1,705	13.2%	100-499
Ages 25–39, female	1,565	12.1%	100-499
Ages 25–39, male	1,530	11.8%	100-499
Ages 15–24, male	1,165	9.0%	100-499
Ages 5–14, male	1,090	8.4%	100-499
Ages 15–24, female	1,060	8.2%	100-499
Ages 60 and over, male	1,035	8.0%	100-499
Ages 60 and over, female	1,010	7.8%	100-499
Ages 5–14, female	1,005	7.8%	100-499

Commuting (work and study)

Commuting indicators for São Francisco do Pará/PA
Employed persons (aged 10 and over)	4,335
Commute out to work in another municipality	785
Commute in from another municipality to work here	290
Net commuting	−495
Out-commuting rate (%)	18.14
Commuting attraction index	0.859
Median commuting time	30 min

Open São Francisco 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]: São Francisco 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/sao-francisco-do-para-pa-1507409/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.