Migration in Inhuma/PI (2017–2022)

Inhuma/PI had a reference population (aged 5 or over in 2022) of 14,140 people. In the 2017–2022 five-year period, the municipality received 890 in-migrants and lost 670 out-migrants to other municipalities in Brazil, resulting in a net migration of +225 people (15.84 per 1,000 population) and a migration effectiveness index (IEM) of 0.143. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Inhuma/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	890	690 to 1,090	good
Out-migrants	670	459 to 881	use with caution
Net migration	+225	−65 to 515	not classified
Net migration rate, TLM (per 1,000 pop.)	15.84	-	-
Migration effectiveness index (IEM)	0.143	-	-

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 Inhuma/PI
Origin	People	Precision
Osasco/SP · view pair in the atlas	160	use with caution
Teresina/PI · view pair in the atlas	90	low precision
Morro Agudo/SP · view pair in the atlas	85	low precision
Picos/PI · view pair in the atlas	75	low precision
São Paulo/SP · view pair in the atlas	60	low precision
Brasília/DF · view pair in the atlas	45	low precision
Ipiranga do Piauí/PI · view pair in the atlas	30	low precision
Novo Oriente do Piauí/PI · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Inhuma/PI
Destination	People	Precision
Valença do Piauí/PI · view pair in the atlas	55	low precision
Picos/PI · view pair in the atlas	45	low precision
São João da Canabrava/PI · view pair in the atlas	35	low precision
Uruana/GO · view pair in the atlas	30	low precision
Ipiranga do Piauí/PI · view pair in the atlas	25	low precision
São José 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	465	52.2%	50-99
First move from municipality of birth	260	29.2%	50-99
Multi-step migration	165	18.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	270	44.3%	50-99
Completed high school, incomplete higher education	155	25.4%	20-49
Completed elementary, incomplete high school	95	15.6%	5-19
Completed higher education	90	14.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	235	26.3%	20-49
¼ to ½ minimum wage	225	25.1%	20-49
Up to ¼ of a minimum wage	225	25.1%	50-99
1 to 2 minimum wages	175	19.6%	20-49
More than 2 minimum wages	35	3.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	145	16.2%	20-49
Ages 25–39, female	140	15.6%	20-49
Ages 40–59, male	135	15.1%	20-49
Ages 5–14, male	105	11.7%	20-49
Ages 40–59, female	90	10.1%	5-19
Ages 5–14, female	70	7.8%	5-19
Ages 60 and over, male	60	6.7%	5-19
Ages 15–24, male	60	6.7%	5-19
Ages 15–24, female	50	5.6%	5-19
Ages 60 and over, female	40	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	355	52.6%	20-49
Multi-step migration	255	37.8%	20-49
Return to municipality of birth	65	9.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	180	52.2%	20-49
Completed higher education	85	24.6%	5-19
Completed high school, incomplete higher education	50	14.5%	5-19
Other / suppressed	30	8.7%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	200	29.9%	20-49
1 to 2 minimum wages	160	23.9%	5-19
½ to 1 minimum wage	155	23.1%	20-49
Up to ¼ of a minimum wage	120	17.9%	20-49
Other / suppressed	35	5.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	130	19.5%	5-19
Ages 25–39, female	100	15.0%	5-19
Ages 25–39, male	90	13.5%	5-19
Ages 15–24, male	70	10.5%	5-19
Ages 5–14, female	65	9.8%	5-19
Ages 40–59, male	65	9.8%	5-19
Ages 5–14, male	60	9.0%	5-19
Ages 40–59, female	50	7.5%	5-19
Ages 60 and over, female	25	3.8%	5-19
Other / suppressed	10	1.5%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,590	60.5%	>=500
Completed high school, incomplete higher education	1,690	18.3%	100-499
Completed higher education	1,000	10.8%	100-499
Completed elementary, incomplete high school	955	10.3%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	4,395	31.3%	>=500
¼ to ½ minimum wage	4,125	29.3%	>=500
Up to ¼ of a minimum wage	3,335	23.7%	>=500
1 to 2 minimum wages	1,690	12.0%	100-499
More than 2 minimum wages	515	3.7%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,970	14.9%	100-499
Ages 40–59, male	1,910	14.4%	100-499
Ages 60 and over, female	1,400	10.6%	100-499
Ages 25–39, male	1,355	10.2%	100-499
Ages 25–39, female	1,355	10.2%	100-499
Ages 60 and over, male	1,220	9.2%	100-499
Ages 15–24, male	1,080	8.2%	100-499
Ages 15–24, female	1,070	8.1%	100-499
Ages 5–14, male	925	7.0%	100-499
Ages 5–14, female	890	6.7%	100-499
Other / suppressed	70	0.5%	5-19

Commuting (work and study)

Commuting indicators for Inhuma/PI
Employed persons (aged 10 and over)	5,020
Commute out to work in another municipality	475
Commute in from another municipality to work here	110
Net commuting	−365
Out-commuting rate (%)	9.46
Commuting attraction index	0.897
Median commuting time	60 min

Open Inhuma/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]: Inhuma/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/inhuma-pi-2204709/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.