Migration in Itainópolis/PI (2017–2022)

Itainópolis/PI had a reference population (aged 5 or over in 2022) of 10,185 people. In the 2017–2022 five-year period, the municipality received 660 in-migrants and lost 370 out-migrants to other municipalities in Brazil, resulting in a net migration of +290 people (28.56 per 1,000 population) and a migration effectiveness index (IEM) of 0.282. 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 Itainópolis/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	660	507 to 813	good
Out-migrants	370	220 to 520	use with caution
Net migration	+290	76 to 504	not classified
Net migration rate, TLM (per 1,000 pop.)	28.56	-	-
Migration effectiveness index (IEM)	0.282	-	-

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 Itainópolis/PI
Origin	People	Precision
Picos/PI · view pair in the atlas	200	use with caution
Santo André/SP · view pair in the atlas	50	low precision
São Paulo/SP · view pair in the atlas	45	low precision
Teresina/PI · view pair in the atlas	40	low precision
Simplício Mendes/PI · view pair in the atlas	35	low precision
Vera Mendes/PI · view pair in the atlas	35	low precision

Top 10 destinations of out-migrants from Itainópolis/PI
Destination	People	Precision
Picos/PI · view pair in the atlas	95	low precision
Aroeiras do Itaim/PI · view pair in the atlas	55	low precision
Isaías Coelho/PI · view pair in the atlas	30	low precision
Vera Mendes/PI · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	305	46.2%	50-99
First move from municipality of birth	265	40.2%	50-99
Multi-step migration	90	13.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	190	44.2%	20-49
Completed high school, incomplete higher education	105	24.4%	5-19
Completed elementary, incomplete high school	95	22.1%	5-19
Completed higher education	40	9.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	235	35.6%	20-49
¼ to ½ minimum wage	210	31.8%	20-49
Up to ¼ of a minimum wage	115	17.4%	20-49
More than 2 minimum wages	45	6.8%	5-19
1 to 2 minimum wages	30	4.5%	5-19
Other / suppressed	25	3.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	115	17.4%	20-49
Ages 15–24, female	105	15.9%	20-49
Ages 25–39, female	100	15.2%	5-19
Ages 40–59, male	95	14.4%	5-19
Ages 5–14, female	55	8.3%	5-19
Ages 5–14, male	45	6.8%	5-19
Ages 60 and over, male	40	6.1%	5-19
Ages 60 and over, female	40	6.1%	5-19
Ages 40–59, female	35	5.3%	5-19
Ages 15–24, male	30	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	230	62.2%	20-49
Multi-step migration	90	24.3%	5-19
Return to municipality of birth	50	13.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	145	54.7%	20-49
Completed high school, incomplete higher education	75	28.3%	5-19
Other / suppressed	25	9.4%	<5
Completed elementary, incomplete high school	20	7.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	39.2%	20-49
¼ to ½ minimum wage	95	25.7%	20-49
Up to ¼ of a minimum wage	55	14.9%	5-19
1 to 2 minimum wages	50	13.5%	5-19
Other / suppressed	25	6.8%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	90	24.3%	5-19
Ages 25–39, male	65	17.6%	5-19
Ages 15–24, female	60	16.2%	5-19
Ages 25–39, female	55	14.9%	5-19
Ages 60 and over, female	40	10.8%	5-19
Ages 40–59, male	35	9.5%	5-19
Ages 15–24, male	25	6.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,970	70.6%	>=500
Completed high school, incomplete higher education	1,055	15.0%	100-499
Completed elementary, incomplete high school	605	8.6%	100-499
Completed higher education	405	5.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,330	32.9%	>=500
¼ to ½ minimum wage	2,745	27.2%	>=500
Up to ¼ of a minimum wage	2,695	26.7%	>=500
1 to 2 minimum wages	1,145	11.3%	100-499
More than 2 minimum wages	195	1.9%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,535	16.1%	100-499
Ages 40–59, male	1,445	15.2%	100-499
Ages 60 and over, female	1,090	11.5%	100-499
Ages 60 and over, male	1,020	10.7%	100-499
Ages 25–39, male	975	10.3%	100-499
Ages 25–39, female	970	10.2%	100-499
Ages 15–24, male	765	8.0%	100-499
Ages 5–14, male	600	6.3%	100-499
Ages 15–24, female	575	6.0%	100-499
Ages 5–14, female	535	5.6%	100-499

Commuting (work and study)

Commuting indicators for Itainópolis/PI
Employed persons (aged 10 and over)	2,670
Commute out to work in another municipality	330
Commute in from another municipality to work here	95
Net commuting	−230
Out-commuting rate (%)	12.27
Commuting attraction index	0.900
Median commuting time	50 min

Open Itainópolis/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]: Itainópolis/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/itainopolis-pi-2205003/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.