Migration in Pio IX/PI (2017–2022)

Pio IX/PI had a reference population (aged 5 or over in 2022) of 16,440 people. In the 2017–2022 five-year period, the municipality received 935 in-migrants and lost 965 out-migrants to other municipalities in Brazil, resulting in a net migration of −30 people (−1.71 per 1,000 population) and a migration effectiveness index (IEM) of −0.015. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Pio IX/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	935	737 to 1,133	good
Out-migrants	965	700 to 1,230	good
Net migration	−30	−360 to 300	not classified
Net migration rate, TLM (per 1,000 pop.)	−1.71	-	-
Migration effectiveness index (IEM)	−0.015	-	-

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 Pio IX/PI
Origin	People	Precision
Fortaleza/CE · view pair in the atlas	100	low precision
Osasco/SP · view pair in the atlas	75	low precision
Fronteiras/PI · view pair in the atlas	75	low precision
Picos/PI · view pair in the atlas	70	low precision
Monsenhor Hipólito/PI · view pair in the atlas	55	low precision
Teresina/PI · view pair in the atlas	45	low precision
São Paulo/SP · view pair in the atlas	40	low precision
Campos Sales/CE · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Pio IX/PI
Destination	People	Precision
Parambu/CE · view pair in the atlas	90	low precision
Alagoinha do Piauí/PI · view pair in the atlas	55	use with caution
Carapicuíba/SP · view pair in the atlas	50	low precision
Aiuaba/CE · view pair in the atlas	30	low precision
Fronteiras/PI · view pair in the atlas	25	low precision
Monsenhor Hipólito/PI · view pair in the atlas	20	low precision
Bocaina/PI · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	355	38.0%	50-99
Return to municipality of birth	345	36.9%	50-99
Multi-step migration	235	25.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	245	45.8%	50-99
Completed high school, incomplete higher education	140	26.2%	20-49
Completed elementary, incomplete high school	95	17.8%	5-19
Completed higher education	55	10.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	380	40.6%	50-99
Up to ¼ of a minimum wage	255	27.3%	20-49
½ to 1 minimum wage	170	18.2%	20-49
1 to 2 minimum wages	80	8.6%	5-19
More than 2 minimum wages	50	5.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	160	17.1%	20-49
Ages 15–24, female	125	13.4%	20-49
Ages 40–59, male	120	12.8%	20-49
Ages 25–39, male	110	11.8%	20-49
Ages 5–14, male	105	11.2%	20-49
Ages 5–14, female	95	10.2%	20-49
Ages 40–59, female	80	8.6%	5-19
Ages 15–24, male	80	8.6%	5-19
Ages 60 and over, male	35	3.7%	5-19
Ages 60 and over, female	25	2.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	595	61.7%	50-99
Multi-step migration	315	32.6%	20-49
Return to municipality of birth	55	5.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	200	38.8%	20-49
Completed high school, incomplete higher education	165	32.0%	5-19
Completed higher education	85	16.5%	5-19
Completed elementary, incomplete high school	65	12.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	405	42.0%	50-99
½ to 1 minimum wage	235	24.4%	20-49
Up to ¼ of a minimum wage	175	18.1%	20-49
1 to 2 minimum wages	100	10.4%	5-19
More than 2 minimum wages	50	5.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	265	27.5%	20-49
Ages 15–24, male	170	17.6%	20-49
Ages 15–24, female	125	13.0%	20-49
Ages 40–59, female	105	10.9%	5-19
Ages 5–14, female	85	8.8%	5-19
Ages 5–14, male	75	7.8%	5-19
Other / suppressed	55	5.7%	5-19
Ages 40–59, male	50	5.2%	5-19
Ages 25–39, male	35	3.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	6,590	62.1%	>=500
Completed high school, incomplete higher education	1,785	16.8%	100-499
Completed elementary, incomplete high school	1,345	12.7%	100-499
Completed higher education	900	8.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	5,125	30.7%	>=500
¼ to ½ minimum wage	4,985	29.9%	>=500
½ to 1 minimum wage	4,620	27.7%	>=500
1 to 2 minimum wages	1,565	9.4%	100-499
More than 2 minimum wages	375	2.2%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	2,235	14.4%	100-499
Ages 40–59, male	2,045	13.2%	100-499
Ages 25–39, male	1,870	12.1%	100-499
Ages 25–39, female	1,830	11.8%	100-499
Ages 60 and over, female	1,395	9.0%	100-499
Ages 15–24, male	1,350	8.7%	100-499
Ages 60 and over, male	1,245	8.0%	100-499
Ages 15–24, female	1,190	7.7%	100-499
Ages 5–14, male	1,180	7.6%	100-499
Ages 5–14, female	1,160	7.5%	100-499

Commuting (work and study)

Commuting indicators for Pio IX/PI
Employed persons (aged 10 and over)	6,530
Commute out to work in another municipality	230
Commute in from another municipality to work here	85
Net commuting	−145
Out-commuting rate (%)	3.52
Commuting attraction index	0.967
Median commuting time	50 min

Open Pio IX/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]: Pio IX/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pio-ix-pi-2208205/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.