Migration in Cocal/PI (2017–2022)

Cocal/PI had a reference population (aged 5 or over in 2022) of 26,230 people. In the 2017–2022 five-year period, the municipality received 840 in-migrants and lost 1,185 out-migrants to other municipalities in Brazil, resulting in a net migration of −350 people (−13.32 per 1,000 population) and a migration effectiveness index (IEM) of −0.172. This classifies the municipality, for the period, as one of migratory depletion. In addition, 175 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Cocal/PI, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	840	555 to 1,125	use with caution
Out-migrants	1,185	820 to 1,550	use with caution
Net migration	−350	−813 to 113	not classified
Net migration rate, TLM (per 1,000 pop.)	−13.32	-	-
Migration effectiveness index (IEM)	−0.172	-	-

Sample of in-migrants: 50-99 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 Cocal/PI
Origin	People	Precision
São Paulo/SP · view pair in the atlas	85	low precision
Granja/CE · view pair in the atlas	85	low precision
Parnaíba/PI · view pair in the atlas	80	low precision
Piracuruca/PI · view pair in the atlas	55	low precision
Brasília/DF · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from Cocal/PI
Destination	People	Precision
Brasília/DF · view pair in the atlas	155	low precision
São Paulo/SP · view pair in the atlas	125	low precision
São Sebastião/SP · view pair in the atlas	105	low precision
Parnaíba/PI · view pair in the atlas	80	low precision
Luís Correia/PI · view pair in the atlas	80	low precision
Cocal dos Alves/PI · view pair in the atlas	40	low precision
Bom Princípio do Piauí/PI · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	340	40.7%	20-49
Return to municipality of birth	275	32.9%	20-49
Multi-step migration	220	26.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	280	56.0%	20-49
Completed high school, incomplete higher education	135	27.0%	5-19
Completed higher education	50	10.0%	5-19
Other / suppressed	35	7.0%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	365	43.7%	20-49
½ to 1 minimum wage	200	24.0%	20-49
¼ to ½ minimum wage	125	15.0%	5-19
More than 2 minimum wages	105	12.6%	5-19
Other / suppressed	40	4.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	175	21.0%	5-19
Ages 25–39, female	140	16.8%	5-19
Ages 15–24, female	115	13.8%	5-19
Ages 5–14, male	105	12.6%	5-19
Other / suppressed	105	12.6%	5-19
Ages 40–59, male	105	12.6%	5-19
Ages 5–14, female	90	10.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	720	60.8%	50-99
Multi-step migration	300	25.3%	20-49
Return to municipality of birth	165	13.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	255	51.5%	20-49
Completed high school, incomplete higher education	120	24.2%	5-19
Completed elementary, incomplete high school	65	13.1%	5-19
Completed higher education	55	11.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	485	40.9%	50-99
1 to 2 minimum wages	300	25.3%	20-49
¼ to ½ minimum wage	180	15.2%	20-49
Up to ¼ of a minimum wage	175	14.8%	20-49
More than 2 minimum wages	45	3.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	250	21.0%	20-49
Ages 15–24, male	220	18.5%	20-49
Ages 25–39, male	210	17.6%	20-49
Ages 25–39, female	155	13.0%	5-19
Ages 5–14, female	135	11.3%	5-19
Ages 5–14, male	95	8.0%	5-19
Ages 40–59, male	55	4.6%	5-19
Other / suppressed	40	3.4%	5-19
Ages 40–59, female	30	2.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	12,235	74.9%	>=500
Completed high school, incomplete higher education	1,675	10.3%	100-499
Completed elementary, incomplete high school	1,545	9.5%	100-499
Completed higher education	875	5.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	12,140	44.6%	>=500
¼ to ½ minimum wage	6,835	25.1%	>=500
½ to 1 minimum wage	6,070	22.3%	>=500
1 to 2 minimum wages	1,585	5.8%	100-499
More than 2 minimum wages	570	2.1%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	3,270	13.0%	100-499
Ages 25–39, male	3,150	12.5%	100-499
Ages 40–59, female	3,145	12.5%	100-499
Ages 25–39, female	3,070	12.2%	100-499
Ages 15–24, male	2,550	10.1%	100-499
Ages 15–24, female	2,340	9.3%	100-499
Ages 5–14, male	2,030	8.1%	100-499
Ages 5–14, female	1,960	7.8%	100-499
Ages 60 and over, female	1,935	7.7%	100-499
Ages 60 and over, male	1,760	7.0%	100-499

Commuting (work and study)

Commuting indicators for Cocal/PI
Employed persons (aged 10 and over)	6,980
Commute out to work in another municipality	345
Commute in from another municipality to work here	210
Net commuting	−135
Out-commuting rate (%)	4.96
Commuting attraction index	0.966
Median commuting time	60 min

Open Cocal/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]: Cocal/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/cocal-pi-2202703/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.