Migration in Quiterianópolis/CE (2017–2022)

Quiterianópolis/CE had a reference population (aged 5 or over in 2022) of 18,935 people. In the 2017–2022 five-year period, the municipality received 1,250 in-migrants and lost 680 out-migrants to other municipalities in Brazil, resulting in a net migration of +570 people (30.10 per 1,000 population) and a migration effectiveness index (IEM) of 0.296. This classifies the municipality, for the period, as one of migratory attraction. In addition, 35 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Quiterianópolis/CE, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,250	905 to 1,595	good
Out-migrants	680	456 to 904	use with caution
Net migration	+570	159 to 981	not classified
Net migration rate, TLM (per 1,000 pop.)	30.10	-	-
Migration effectiveness index (IEM)	0.296	-	-

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 Quiterianópolis/CE
Origin	People	Precision
Fortaleza/CE · view pair in the atlas	225	low precision
São Paulo/SP · view pair in the atlas	185	low precision
Brasília/DF · view pair in the atlas	130	low precision
Manaus/AM · view pair in the atlas	65	low precision
Parambu/CE · view pair in the atlas	65	low precision
Crateús/CE · view pair in the atlas	45	low precision

Top 10 destinations of out-migrants from Quiterianópolis/CE
Destination	People	Precision
Novo Oriente/CE · view pair in the atlas	100	low precision
Parambu/CE · view pair in the atlas	45	low precision
Assunção 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	540	43.2%	50-99
Multi-step migration	355	28.4%	20-49
First move from municipality of birth	355	28.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	325	38.2%	20-49
Completed high school, incomplete higher education	300	35.3%	20-49
Completed elementary, incomplete high school	130	15.3%	5-19
Completed higher education	95	11.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	400	32.1%	20-49
¼ to ½ minimum wage	375	30.1%	20-49
½ to 1 minimum wage	315	25.3%	20-49
1 to 2 minimum wages	120	9.6%	5-19
Other / suppressed	35	2.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	200	16.0%	5-19
Ages 40–59, male	175	14.0%	5-19
Ages 25–39, male	170	13.6%	5-19
Ages 40–59, female	145	11.6%	5-19
Ages 15–24, female	120	9.6%	5-19
Ages 5–14, male	115	9.2%	5-19
Ages 5–14, female	95	7.6%	5-19
Ages 60 and over, female	80	6.4%	5-19
Ages 60 and over, male	75	6.0%	5-19
Ages 15–24, male	75	6.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	425	62.5%	20-49
Multi-step migration	160	23.5%	5-19
Return to municipality of birth	95	14.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	185	46.2%	20-49
Completed high school, incomplete higher education	130	32.5%	5-19
Other / suppressed	85	21.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	200	29.4%	20-49
Up to ¼ of a minimum wage	165	24.3%	20-49
1 to 2 minimum wages	135	19.9%	5-19
¼ to ½ minimum wage	130	19.1%	5-19
More than 2 minimum wages	50	7.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	110	16.3%	5-19
Ages 25–39, female	110	16.3%	5-19
Ages 25–39, male	100	14.8%	5-19
Ages 15–24, male	95	14.1%	5-19
Ages 40–59, male	60	8.9%	5-19
Ages 60 and over, female	55	8.1%	5-19
Ages 5–14, female	50	7.4%	5-19
Ages 40–59, female	45	6.7%	5-19
Other / suppressed	25	3.7%	<5
Ages 60 and over, male	25	3.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	7,795	63.3%	>=500
Completed high school, incomplete higher education	1,980	16.1%	100-499
Completed elementary, incomplete high school	1,705	13.8%	100-499
Completed higher education	840	6.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	5,985	31.6%	>=500
Up to ¼ of a minimum wage	5,905	31.2%	>=500
¼ to ½ minimum wage	5,250	27.7%	>=500
1 to 2 minimum wages	1,470	7.8%	100-499
More than 2 minimum wages	325	1.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	2,585	14.6%	100-499
Ages 40–59, male	2,445	13.9%	100-499
Ages 25–39, female	1,990	11.3%	100-499
Ages 25–39, male	1,940	11.0%	100-499
Ages 60 and over, female	1,755	9.9%	100-499
Ages 60 and over, male	1,605	9.1%	100-499
Ages 15–24, male	1,460	8.3%	100-499
Ages 15–24, female	1,320	7.5%	100-499
Ages 5–14, male	1,285	7.3%	100-499
Ages 5–14, female	1,265	7.2%	100-499

Commuting (work and study)

Commuting indicators for Quiterianópolis/CE
Employed persons (aged 10 and over)	5,970
Commute out to work in another municipality	360
Commute in from another municipality to work here	115
Net commuting	−245
Out-commuting rate (%)	6.04
Commuting attraction index	0.937
Median commuting time	60 min

Open Quiterianópolis/CE 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]: Quiterianópolis/CE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/quiterianopolis-ce-2311264/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.