Migration in Avelino Lopes/PI (2017–2022)

Avelino Lopes/PI had a reference population (aged 5 or over in 2022) of 10,080 people. In the 2017–2022 five-year period, the municipality received 445 in-migrants and lost 1,055 out-migrants to other municipalities in Brazil, resulting in a net migration of −610 people (−60.75 per 1,000 population) and a migration effectiveness index (IEM) of −0.408. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Avelino Lopes/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	445	316 to 574	good
Out-migrants	1,055	681 to 1,429	use with caution
Net migration	−610	−1,005 to −215	not classified
Net migration rate, TLM (per 1,000 pop.)	−60.75	-	-
Migration effectiveness index (IEM)	−0.408	-	-

Sample of in-migrants: 50-99 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 Avelino Lopes/PI
Origin	People	Precision
Osasco/SP · view pair in the atlas	100	low precision
Morro Cabeça no Tempo/PI · view pair in the atlas	45	low precision
São Paulo/SP · view pair in the atlas	45	low precision
Teresina/PI · view pair in the atlas	35	low precision
Brasília/DF · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Avelino Lopes/PI
Destination	People	Precision
São Paulo/SP · view pair in the atlas	185	low precision
Brasília/DF · view pair in the atlas	135	low precision
Aparecida de Goiânia/GO · view pair in the atlas	90	low precision
Morro Cabeça no Tempo/PI · view pair in the atlas	70	low precision
Bom Jesus/PI · view pair in the atlas	60	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	195	43.8%	20-49
First move from municipality of birth	175	39.3%	20-49
Multi-step migration	75	16.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	41.9%	20-49
Completed high school, incomplete higher education	90	29.0%	5-19
Completed elementary, incomplete high school	65	21.0%	5-19
Completed higher education	25	8.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	180	40.4%	20-49
¼ to ½ minimum wage	115	25.8%	20-49
½ to 1 minimum wage	115	25.8%	20-49
1 to 2 minimum wages	25	5.6%	5-19
Other / suppressed	10	2.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	90	20.2%	5-19
Ages 25–39, male	85	19.1%	5-19
Ages 40–59, male	55	12.4%	5-19
Ages 40–59, female	50	11.2%	5-19
Ages 5–14, female	40	9.0%	5-19
Ages 15–24, female	40	9.0%	5-19
Ages 5–14, male	35	7.9%	5-19
Other / suppressed	25	5.6%	5-19
Ages 15–24, male	25	5.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	645	61.1%	50-99
Multi-step migration	310	29.4%	20-49
Return to municipality of birth	100	9.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	220	37.3%	20-49
Completed high school, incomplete higher education	205	34.7%	20-49
Completed elementary, incomplete high school	125	21.2%	5-19
Completed higher education	40	6.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	390	36.8%	20-49
¼ to ½ minimum wage	350	33.0%	20-49
1 to 2 minimum wages	200	18.9%	5-19
Up to ¼ of a minimum wage	65	6.1%	5-19
More than 2 minimum wages	55	5.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	195	18.5%	5-19
Ages 15–24, female	195	18.5%	5-19
Ages 25–39, male	180	17.1%	20-49
Ages 15–24, male	170	16.1%	5-19
Ages 40–59, male	130	12.3%	5-19
Ages 40–59, female	70	6.6%	5-19
Ages 5–14, female	70	6.6%	5-19
Ages 5–14, male	35	3.3%	5-19
Other / suppressed	10	0.9%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,030	62.2%	>=500
Completed high school, incomplete higher education	1,245	19.2%	100-499
Completed elementary, incomplete high school	760	11.7%	100-499
Completed higher education	445	6.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	3,815	36.6%	>=500
½ to 1 minimum wage	2,900	27.8%	>=500
¼ to ½ minimum wage	2,645	25.4%	>=500
1 to 2 minimum wages	840	8.1%	100-499
More than 2 minimum wages	215	2.1%	20-49
Other / suppressed	5	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,425	14.8%	100-499
Ages 40–59, female	1,330	13.8%	100-499
Ages 25–39, female	1,055	11.0%	100-499
Ages 25–39, male	930	9.7%	100-499
Ages 60 and over, female	895	9.3%	100-499
Ages 60 and over, male	850	8.8%	100-499
Ages 15–24, male	830	8.6%	100-499
Ages 5–14, male	815	8.5%	100-499
Ages 5–14, female	750	7.8%	100-499
Ages 15–24, female	745	7.7%	100-499

Commuting (work and study)

Commuting indicators for Avelino Lopes/PI
Employed persons (aged 10 and over)	2,415
Commute out to work in another municipality	85
Commute in from another municipality to work here	80
Net commuting	−5
Out-commuting rate (%)	3.49
Commuting attraction index	0.966
Median commuting time	60 min

Open Avelino Lopes/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]: Avelino Lopes/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/avelino-lopes-pi-2201101/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.