Migration in Alto Longá/PI (2017–2022)

Alto Longá/PI had a reference population (aged 5 or over in 2022) of 12,690 people. In the 2017–2022 five-year period, the municipality received 700 in-migrants and lost 965 out-migrants to other municipalities in Brazil, resulting in a net migration of −265 people (−20.73 per 1,000 population) and a migration effectiveness index (IEM) of −0.158. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Alto Longá/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	700	519 to 881	good
Out-migrants	965	629 to 1,301	use with caution
Net migration	−265	−646 to 116	not classified
Net migration rate, TLM (per 1,000 pop.)	−20.73	-	-
Migration effectiveness index (IEM)	−0.158	-	-

Sample of in-migrants: 100-499 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 Alto Longá/PI
Origin	People	Precision
Teresina/PI · view pair in the atlas	255	use with caution
São Paulo/SP · view pair in the atlas	95	use with caution
Beneditinos/PI · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from Alto Longá/PI
Destination	People	Precision
Teresina/PI · view pair in the atlas	305	low precision
Altos/PI · view pair in the atlas	120	low precision
São Paulo/SP · view pair in the atlas	120	low precision
Beneditinos/PI · view pair in the atlas	60	low precision
Prata do Piauí/PI · view pair in the atlas	35	low precision
São João da Serra/PI · view pair in the atlas	30	low precision
Novo Santo Antônio/PI · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	250	35.7%	50-99
First move from municipality of birth	250	35.7%	50-99
Multi-step migration	200	28.6%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	220	44.0%	20-49
Completed high school, incomplete higher education	155	31.0%	20-49
Completed elementary, incomplete high school	85	17.0%	5-19
Completed higher education	40	8.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	265	37.6%	50-99
¼ to ½ minimum wage	210	29.8%	20-49
Up to ¼ of a minimum wage	110	15.6%	20-49
1 to 2 minimum wages	90	12.8%	5-19
More than 2 minimum wages	30	4.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	115	16.4%	20-49
Ages 25–39, male	110	15.7%	20-49
Ages 25–39, female	90	12.9%	5-19
Ages 40–59, male	80	11.4%	5-19
Ages 15–24, female	65	9.3%	5-19
Ages 60 and over, male	60	8.6%	5-19
Ages 5–14, male	55	7.9%	5-19
Ages 15–24, male	50	7.1%	5-19
Ages 60 and over, female	40	5.7%	5-19
Ages 5–14, female	35	5.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	585	60.3%	50-99
Multi-step migration	260	26.8%	20-49
Return to municipality of birth	125	12.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	285	44.5%	20-49
Completed high school, incomplete higher education	180	28.1%	5-19
Completed elementary, incomplete high school	110	17.2%	5-19
Other / suppressed	65	10.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	370	38.5%	20-49
Up to ¼ of a minimum wage	180	18.8%	20-49
½ to 1 minimum wage	175	18.2%	20-49
¼ to ½ minimum wage	150	15.6%	20-49
More than 2 minimum wages	55	5.7%	5-19
Other / suppressed	30	3.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	300	31.2%	20-49
Ages 15–24, female	175	18.2%	5-19
Ages 15–24, male	140	14.6%	5-19
Ages 25–39, female	125	13.0%	5-19
Ages 40–59, male	100	10.4%	5-19
Ages 40–59, female	70	7.3%	5-19
Other / suppressed	25	2.6%	5-19
Ages 60 and over, female	25	2.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,545	64.8%	>=500
Completed high school, incomplete higher education	1,505	17.6%	100-499
Completed elementary, incomplete high school	955	11.2%	100-499
Completed higher education	550	6.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	4,180	32.7%	>=500
¼ to ½ minimum wage	3,900	30.5%	>=500
Up to ¼ of a minimum wage	3,275	25.6%	>=500
1 to 2 minimum wages	1,045	8.2%	100-499
More than 2 minimum wages	370	2.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,705	14.2%	100-499
Ages 40–59, female	1,665	13.9%	100-499
Ages 25–39, female	1,320	11.0%	100-499
Ages 25–39, male	1,320	11.0%	100-499
Ages 60 and over, female	1,315	11.0%	100-499
Ages 60 and over, male	1,230	10.3%	100-499
Ages 15–24, male	965	8.1%	100-499
Ages 5–14, male	845	7.1%	100-499
Ages 15–24, female	830	6.9%	100-499
Ages 5–14, female	785	6.6%	100-499

Commuting (work and study)

Commuting indicators for Alto Longá/PI
Employed persons (aged 10 and over)	4,540
Commute out to work in another municipality	455
Commute in from another municipality to work here	50
Net commuting	−405
Out-commuting rate (%)	9.99
Commuting attraction index	0.907
Median commuting time	90 min

Open Alto Longá/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]: Alto Longá/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/alto-longa-pi-2200301/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.