Migration in Itaueira/PI (2017–2022)

Itaueira/PI had a reference population (aged 5 or over in 2022) of 9,725 people. In the 2017–2022 five-year period, the municipality received 620 in-migrants and lost 610 out-migrants to other municipalities in Brazil, resulting in a net migration of +15 people (1.34 per 1,000 population) and a migration effectiveness index (IEM) of 0.011. 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 Itaueira/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	620	458 to 782	good
Out-migrants	610	387 to 833	use with caution
Net migration	+15	−261 to 291	not classified
Net migration rate, TLM (per 1,000 pop.)	1.34	-	-
Migration effectiveness index (IEM)	0.011	-	-

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 Itaueira/PI
Origin	People	Precision
Osasco/SP · view pair in the atlas	110	low precision
Floriano/PI · view pair in the atlas	95	use with caution
Rio Grande do Piauí/PI · view pair in the atlas	65	low precision
São Paulo/SP · view pair in the atlas	45	low precision
Flores do Piauí/PI · view pair in the atlas	45	low precision
Brasília/DF · view pair in the atlas	30	low precision
Teresina/PI · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Itaueira/PI
Destination	People	Precision
Floriano/PI · view pair in the atlas	135	low precision
Flores do Piauí/PI · view pair in the atlas	35	low precision
Rio Grande do Piauí/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	295	47.6%	50-99
First move from municipality of birth	195	31.5%	20-49
Multi-step migration	130	21.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	215	51.8%	20-49
Completed high school, incomplete higher education	115	27.7%	20-49
Completed elementary, incomplete high school	50	12.0%	5-19
Completed higher education	35	8.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	235	38.2%	20-49
Up to ¼ of a minimum wage	150	24.4%	20-49
¼ to ½ minimum wage	110	17.9%	20-49
1 to 2 minimum wages	105	17.1%	20-49
Other / suppressed	15	2.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	95	15.2%	5-19
Ages 25–39, male	90	14.4%	5-19
Ages 40–59, male	80	12.8%	5-19
Ages 15–24, male	65	10.4%	5-19
Ages 40–59, female	60	9.6%	5-19
Ages 5–14, male	60	9.6%	5-19
Ages 60 and over, male	55	8.8%	5-19
Ages 15–24, female	50	8.0%	5-19
Ages 60 and over, female	40	6.4%	5-19
Ages 5–14, female	30	4.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	435	71.9%	50-99
Return to municipality of birth	100	16.5%	5-19
Multi-step migration	70	11.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	200	56.3%	20-49
Completed high school, incomplete higher education	90	25.4%	5-19
Completed elementary, incomplete high school	50	14.1%	5-19
Other / suppressed	15	4.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	225	36.9%	20-49
¼ to ½ minimum wage	185	30.3%	20-49
1 to 2 minimum wages	75	12.3%	5-19
More than 2 minimum wages	60	9.8%	5-19
Up to ¼ of a minimum wage	35	5.7%	5-19
Other / suppressed	30	4.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	115	18.9%	5-19
Ages 15–24, female	105	17.2%	5-19
Ages 40–59, male	90	14.8%	5-19
Other / suppressed	75	12.3%	5-19
Ages 25–39, male	70	11.5%	5-19
Ages 15–24, male	55	9.0%	5-19
Ages 40–59, female	50	8.2%	5-19
Ages 5–14, male	50	8.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,190	65.4%	>=500
Completed high school, incomplete higher education	1,240	19.4%	100-499
Completed elementary, incomplete high school	550	8.6%	100-499
Completed higher education	425	6.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,340	34.5%	>=500
¼ to ½ minimum wage	2,645	27.3%	>=500
Up to ¼ of a minimum wage	2,575	26.6%	>=500
1 to 2 minimum wages	810	8.4%	100-499
More than 2 minimum wages	320	3.3%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,345	14.8%	100-499
Ages 40–59, female	1,310	14.4%	100-499
Ages 60 and over, female	965	10.6%	100-499
Ages 25–39, male	950	10.5%	100-499
Ages 25–39, female	945	10.4%	100-499
Ages 60 and over, male	880	9.7%	100-499
Ages 15–24, male	740	8.1%	100-499
Ages 5–14, female	670	7.4%	100-499
Ages 15–24, female	670	7.4%	100-499
Ages 5–14, male	605	6.7%	100-499

Commuting (work and study)

Commuting indicators for Itaueira/PI
Employed persons (aged 10 and over)	2,950
Commute out to work in another municipality	270
Commute in from another municipality to work here	50
Net commuting	−220
Out-commuting rate (%)	9.08
Commuting attraction index	0.901
Median commuting time	60 min

Open Itaueira/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]: Itaueira/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/itaueira-pi-2205102/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.