Migration in Beneditinos/PI (2017–2022)

Beneditinos/PI had a reference population (aged 5 or over in 2022) of 9,340 people. In the 2017–2022 five-year period, the municipality received 460 in-migrants and lost 540 out-migrants to other municipalities in Brazil, resulting in a net migration of −80 people (−8.46 per 1,000 population) and a migration effectiveness index (IEM) of −0.079. This classifies the municipality, for the period, as one of migratory depletion. In addition, 40 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Beneditinos/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	460	325 to 595	good
Out-migrants	540	357 to 723	use with caution
Net migration	−80	−307 to 147	not classified
Net migration rate, TLM (per 1,000 pop.)	−8.46	-	-
Migration effectiveness index (IEM)	−0.079	-	-

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 Beneditinos/PI
Origin	People	Precision
Teresina/PI · view pair in the atlas	110	use with caution
São Paulo/SP · view pair in the atlas	85	low precision
Alto Longá/PI · view pair in the atlas	60	low precision
Demerval Lobão/PI · view pair in the atlas	60	low precision

Top 10 destinations of out-migrants from Beneditinos/PI
Destination	People	Precision
Teresina/PI · view pair in the atlas	155	low precision
Alto Longá/PI · view pair in the atlas	40	low precision
Pau D'Arco do Piauí/PI · view pair in the atlas	40	low precision
Prata do Piauí/PI · view pair in the atlas	35	low precision
Barro Duro/PI · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	190	41.3%	20-49
First move from municipality of birth	170	37.0%	20-49
Multi-step migration	100	21.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	37.3%	20-49
Completed elementary, incomplete high school	85	28.8%	5-19
Completed high school, incomplete higher education	50	16.9%	5-19
Completed higher education	50	16.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	195	42.4%	20-49
Up to ¼ of a minimum wage	115	25.0%	20-49
½ to 1 minimum wage	90	19.6%	5-19
1 to 2 minimum wages	35	7.6%	5-19
More than 2 minimum wages	25	5.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	95	20.7%	5-19
Ages 25–39, male	80	17.4%	5-19
Ages 25–39, female	65	14.1%	5-19
Ages 5–14, male	55	12.0%	5-19
Other / suppressed	50	10.9%	5-19
Ages 15–24, female	45	9.8%	5-19
Ages 5–14, female	45	9.8%	5-19
Ages 40–59, male	25	5.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	315	57.8%	20-49
Multi-step migration	120	22.0%	20-49
Return to municipality of birth	110	20.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	225	62.5%	20-49
Completed high school, incomplete higher education	85	23.6%	5-19
Completed elementary, incomplete high school	35	9.7%	5-19
Other / suppressed	15	4.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	200	37.0%	20-49
½ to 1 minimum wage	120	22.2%	5-19
Up to ¼ of a minimum wage	115	21.3%	20-49
1 to 2 minimum wages	100	18.5%	5-19
Other / suppressed	5	0.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	15.9%	5-19
Ages 5–14, female	85	15.9%	5-19
Ages 40–59, male	80	15.0%	5-19
Ages 25–39, male	75	14.0%	5-19
Ages 40–59, female	65	12.1%	5-19
Ages 15–24, female	45	8.4%	5-19
Other / suppressed	40	7.5%	5-19
Ages 5–14, male	35	6.5%	5-19
Ages 60 and over, male	25	4.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,190	68.2%	>=500
Completed high school, incomplete higher education	860	14.0%	100-499
Completed elementary, incomplete high school	580	9.4%	100-499
Completed higher education	515	8.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	3,195	33.9%	>=500
½ to 1 minimum wage	2,880	30.5%	>=500
¼ to ½ minimum wage	2,445	25.9%	100-499
1 to 2 minimum wages	775	8.2%	100-499
More than 2 minimum wages	135	1.4%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,220	13.8%	100-499
Ages 40–59, female	1,145	12.9%	100-499
Ages 60 and over, female	1,005	11.4%	100-499
Ages 25–39, male	955	10.8%	100-499
Ages 25–39, female	920	10.4%	100-499
Ages 60 and over, male	905	10.2%	100-499
Ages 15–24, male	740	8.4%	100-499
Ages 15–24, female	675	7.6%	100-499
Ages 5–14, male	655	7.4%	100-499
Ages 5–14, female	625	7.1%	100-499

Commuting (work and study)

Commuting indicators for Beneditinos/PI
Employed persons (aged 10 and over)	2,610
Commute out to work in another municipality	240
Commute in from another municipality to work here	150
Net commuting	−90
Out-commuting rate (%)	9.28
Commuting attraction index	0.963
Median commuting time	60 min

This municipality is part of Região Integrada de Desenvolvimento da Grande Teresina → see the metropolitan region page

Open Beneditinos/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]: Beneditinos/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/beneditinos-pi-2201606/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.