Migration in Arraial/PI (2017–2022)

Arraial/PI had a reference population (aged 5 or over in 2022) of 4,230 people. In the 2017–2022 five-year period, the municipality received 250 in-migrants and lost 265 out-migrants to other municipalities in Brazil, resulting in a net migration of −15 people (−3.43 per 1,000 population) and a migration effectiveness index (IEM) of −0.028. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Arraial/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	250	171 to 329	use with caution
Out-migrants	265	69 to 461	low precision
Net migration	−15	−226 to 196	not classified
Net migration rate, TLM (per 1,000 pop.)	−3.43	-	-
Migration effectiveness index (IEM)	−0.028	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Arraial/PI
Origin	People	Precision
Teresina/PI · view pair in the atlas	50	low precision
Guarujá/SP · view pair in the atlas	40	low precision
Francisco Ayres/PI · view pair in the atlas	30	low precision
Campinas/SP · view pair in the atlas	15	low precision
Bertioga/SP · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Arraial/PI
Destination	People	Precision
No outflows published individually (below the disclosure threshold).

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	145	56.9%	20-49
First move from municipality of birth	70	27.5%	20-49
Multi-step migration	40	15.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	65	39.4%	20-49
Completed high school, incomplete higher education	35	21.2%	5-19
Completed elementary, incomplete high school	35	21.2%	5-19
Completed higher education	30	18.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	90	36.0%	20-49
Up to ¼ of a minimum wage	90	36.0%	20-49
¼ to ½ minimum wage	45	18.0%	5-19
1 to 2 minimum wages	20	8.0%	5-19
Other / suppressed	5	2.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	55	21.2%	5-19
Ages 40–59, male	50	19.2%	5-19
Ages 25–39, male	35	13.5%	5-19
Ages 5–14, male	30	11.5%	5-19
Ages 5–14, female	30	11.5%	5-19
Other / suppressed	25	9.6%	5-19
Ages 15–24, female	25	9.6%	5-19
Ages 40–59, female	10	3.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	200	75.5%	5-19
Return to municipality of birth	35	13.2%	5-19
Multi-step migration	30	11.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	85.0%	5-19
Other / suppressed	30	15.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	115	43.4%	5-19
Other / suppressed	90	34.0%	5-19
Up to ¼ of a minimum wage	60	22.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	210	79.2%	20-49
Ages 25–39, male	55	20.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,670	61.7%	>=500
Completed high school, incomplete higher education	550	20.3%	100-499
Completed higher education	270	10.0%	50-99
Completed elementary, incomplete high school	215	7.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	1,410	33.0%	100-499
½ to 1 minimum wage	1,310	30.7%	100-499
¼ to ½ minimum wage	1,105	25.9%	100-499
1 to 2 minimum wages	365	8.5%	100-499
More than 2 minimum wages	80	1.9%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	555	13.9%	100-499
Ages 40–59, male	535	13.4%	100-499
Ages 25–39, male	435	10.9%	100-499
Ages 60 and over, female	430	10.8%	100-499
Ages 25–39, female	415	10.4%	100-499
Ages 15–24, male	405	10.2%	100-499
Ages 60 and over, male	335	8.4%	100-499
Ages 15–24, female	310	7.8%	50-99
Ages 5–14, female	280	7.0%	50-99
Ages 5–14, male	280	7.0%	50-99

Commuting (work and study)

Commuting indicators for Arraial/PI
Employed persons (aged 10 and over)	1,055
Commute out to work in another municipality	140
Commute in from another municipality to work here	55
Net commuting	−85
Out-commuting rate (%)	13.31
Commuting attraction index	0.912
Median commuting time	30 min

Open Arraial/PI 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]: Arraial/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/arraial-pi-2201002/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.