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Epitaciolândia, Acre

Brazil · Comprehensive city data and intelligence

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About Acre

Acre, Brazil, located in the westernmost part of the Amazon basin, is characterized by its dense rainforest and rich biodiversity. The economy is primarily driven by the service sector (around 74% of GDP), followed by agriculture (18.9%) and industry (7.1%). Major agricultural products include soybeans, Brazil nuts, cattle, and corn, while industries focus on timber, Brazil nut oil, and food products. Living in Acre generally entails a tropical climate with high temperatures and humidity year-round, experiencing a rainy season from December to May and a dry season from June to November. The cost of living in the capital, Rio Branco, is considered relatively inexpensive compared to many global cities, with a single person's estimated monthly costs around $815 including rent. Life outside the main cities often moves at a slower pace, with a focus on community and access to natural resources, though more isolated towns may lack developed infrastructure.

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Nearby Cities

Brasiléia
67
Assis Brasil
70
Rio Branco
66
Santa Rosa do Purus
71

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Frequently Asked Questions

The consumer market basket tracks everyday necessities, including staple grocery items (such as milk, bread, eggs, and produce), residential energy bills (electricity, gas, and water), public and private transit costs, routine outpatient medical care, and standard consumer goods and services to ensure a representative monthly budget.

Even in close geographic proximity, local tax jurisdictions, municipal utility rates, zoning laws, and micro-housing markets can create wide cost discrepancies. For example, a city with strict land-use regulations or higher local sales taxes will typically exhibit elevated housing and consumer goods costs compared to an adjacent county with looser zoning and lower tax burdens.

Even in close geographic proximity, local tax jurisdictions, municipal utility rates, zoning laws, and micro-housing markets can create wide cost discrepancies. For example, a city with strict land-use regulations or higher local sales taxes will typically exhibit elevated housing and consumer goods costs compared to an adjacent county with looser zoning and lower tax burdens.

Local tax climates significantly shift a city's affordability score by directly affecting disposable income. Urblytica factors in state income tax brackets, local municipal property tax millage rates, and combined sales taxes to measure the true tax drag on median household earnings.

Core economic indexes and consumer price metrics undergo a comprehensive quarterly recalibration. This update cycle integrates the latest Consumer Price Index (CPI) releases, municipal utility rate adjustments, and regional housing data feeds to ensure all index comparisons reflect current economic conditions.

Housing is weighted as the single largest component in Urblytica's cost-of-living algorithm, typically accounting for roughly 30% to 35% of the composite score. It incorporates both median monthly gross rent and median single-family home purchase prices relative to local median income levels.

Normalization involves adjusting raw economic inputs against localized purchasing power parities (PPPs) and population-weighted density scales. This ensures fair, apples-to-apples comparisons between dense metropolitan hubs and smaller suburban or rural towns.

Utility indexing applies a rolling annual average that captures seasonal climate variations, such as increased summer air conditioning loads in southern climates or heavier winter heating demands in northern regions, providing a realistic year-round average utility expense.

Remote workers leverage the index to calculate real purchasing power parity when moving from a high-cost-of-living area to a lower-cost region. By comparing index differentials against their fixed salary, users can determine if their net savings and lifestyle quality will improve post-relocation.

While the raw Cost of Living Index measures pure expense levels, it is frequently paired with Urblytica’s local wage index and median household income benchmarks. This combined view highlights whether local salaries keep pace with local consumer goods and housing expenses.

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