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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Iracema/CE (2017–2022)

Iracema/CE had a reference population (aged 5 or over in 2022) of 13,100 people. In the 2017–2022 five-year period, the municipality received 965 in-migrants and lost 680 out-migrants to other municipalities in Brazil, resulting in a net migration of +285 people (21.67 per 1,000 population) and a migration effectiveness index (IEM) of 0.173. This classifies the municipality, for the period, as one of migratory attraction. In addition, 20 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Iracema/CE, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants965769 to 1,161good
Out-migrants680458 to 902use with caution
Net migration+285−11 to 581not classified
Net migration rate, TLM (per 1,000 pop.)21.67--
Migration effectiveness index (IEM)0.173--

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 Iracema/CE
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas135use with caution
Fortaleza/CE · view pair in the atlas115use with caution
Ereré/CE · view pair in the atlas75low precision
Potiretama/CE · view pair in the atlas40low precision
Manaus/AM · view pair in the atlas35low precision
Alto Santo/CE · view pair in the atlas30low precision
Pereiro/CE · view pair in the atlas30low precision
Limoeiro do Norte/CE · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Iracema/CE
DestinationPeoplePrecision
Limoeiro do Norte/CE · view pair in the atlas70low precision
Potiretama/CE · view pair in the atlas40use with caution
Alto Santo/CE · view pair in the atlas40low precision
Espírito Santo do Turvo/SP · view pair in the atlas25low precision
Ereré/CE · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth45547.4%50-99
First move from municipality of birth30031.2%50-99
Multi-step migration20521.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary28542.5%50-99
Completed high school, incomplete higher education22533.6%20-49
Completed higher education9514.2%5-19
Completed elementary, incomplete high school659.7%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage29029.9%50-99
¼ to ½ minimum wage28028.9%50-99
Up to ¼ of a minimum wage25025.8%20-49
More than 2 minimum wages808.2%5-19
1 to 2 minimum wages707.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male23524.2%20-49
Ages 40–59, female14014.4%20-49
Ages 25–39, female12012.4%20-49
Ages 15–24, female11511.9%20-49
Ages 40–59, male909.3%5-19
Ages 5–14, female606.2%5-19
Ages 15–24, male606.2%5-19
Ages 60 and over, male606.2%5-19
Ages 5–14, male555.7%5-19
Ages 60 and over, female353.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth51075.0%50-99
Multi-step migration10515.4%5-19
Return to municipality of birth659.6%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education24049.5%20-49
No schooling or incomplete elementary11022.7%20-49
Completed elementary, incomplete high school10521.6%5-19
Other / suppressed306.2%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage26038.2%20-49
¼ to ½ minimum wage16524.3%20-49
1 to 2 minimum wages16023.5%5-19
Up to ¼ of a minimum wage608.8%5-19
Other / suppressed355.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male16524.4%20-49
Ages 25–39, female15022.2%20-49
Ages 40–59, male9013.3%5-19
Ages 15–24, female7010.4%5-19
Ages 15–24, male659.6%5-19
Other / suppressed456.7%5-19
Ages 40–59, female304.4%5-19
Ages 5–14, male304.4%5-19
Ages 5–14, female304.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,67054.9%>=500
Completed high school, incomplete higher education2,42028.5%100-499
Completed higher education7308.6%100-499
Completed elementary, incomplete high school6808.0%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,22032.4%>=500
¼ to ½ minimum wage4,01530.8%>=500
Up to ¼ of a minimum wage2,83021.7%>=500
1 to 2 minimum wages1,44511.1%100-499
More than 2 minimum wages5103.9%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,65513.7%100-499
Ages 40–59, male1,56512.9%100-499
Ages 25–39, female1,38011.4%100-499
Ages 60 and over, female1,37011.3%100-499
Ages 25–39, male1,34511.1%100-499
Ages 60 and over, male1,1459.4%100-499
Ages 15–24, male1,0008.3%100-499
Ages 5–14, male8907.3%100-499
Ages 15–24, female8807.3%100-499
Ages 5–14, female8457.0%100-499
Other / suppressed450.4%5-19

Commuting (work and study)

Commuting indicators for Iracema/CE
Employed persons (aged 10 and over)4,180
Commute out to work in another municipality300
Commute in from another municipality to work here95
Net commuting−205
Out-commuting rate (%)7.21
Commuting attraction index0.908
Median commuting time60 min

Open Iracema/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]: Iracema/CE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/iracema-ce-2306009/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.