Rental market snapshot for Cicero, Indiana

Cicero, Indiana Rental Property Market Overview

The average rent for an apartment in Cicero is $1,701. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 2.6% over the past year.

Cicero is a town in Hamilton County, Indiana, United States. The population was 29,637 at the 2010 census. Cicero is located in the northwestern part of the Indianapolis metropolitan area.

Last Updated December 23, 2022

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Average monthly rent graph in Cicero Indiana | Cost of Living

  • The most expensive ZIP Code in Cicero is 46034 with an average price of $1,610
  • The cheapest ZIP Code in Cicero is 46034 with an average price of $1,450

Cicero ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
146034$1,610
246034$1,580

Live near Cicero, Indiana's Top Sights and Attractions

Red Bridge Park is a small park located on the west side of Cicero, Indiana. The park features a playground, a picnic shelter, and a small pond. The pond is stocked with fish and is a popular spot for fishing.

Community Park is a large park with a playground, a basketball court, a pond, and a walking trail.

This attraction is a public park that offers a variety of amenities for visitors to enjoy. There are picnic areas, playgrounds, a basketball court, and a walking trail. The park also has a pavilion that can be rented for events.

Cicero, Indiana area median rent change by ZIP Code map

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How does Cicero compare to other cities in Indiana ?

citymedian price
Carmel$1,975
Columbus$1,800
Bloomington$1,100
Lebanon$1,725
Brownsburg$1,835
Gary$889
Martinsville$1,274

Average household income in Cicero area graph - US Census

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The median household income in Cicero in 2021 was $62,378. This represents a 15.1% change from 2011 when the median was $54,217.

#categorypercent
0Less than $10,0005.8%
1$10,000 to $14,9995.4%
2$15,000 to $19,9994.6%
3$20,000 to $24,9997.4%
4$25,000 to $29,9996.9%
5$30,000 to $34,9992.2%
6$35,000 to $39,9990.0%
7$40,000 to $44,9991.6%
8$45,000 to $49,9997.2%
9$50,000 to $59,9994.7%
10$60,000 to $74,99918.5%
11$75,000 to $99,99917.9%
12$100,000 to $124,9991.7%
13$125,000 to $149,9993.5%
14$150,000 to $199,9997.4%
15$200,000 or more5.2%

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Frequently asked questions

Our data is best categorized as "alternative data", which is a burgeoning sector. Through partnerships and direct feeds, we extract key factual elements that are publicly available within rental listings on internet listing sites and property websites. Once aggregated, we mine through the data to parse out relevant insights and calculate important metrics, benchmarks, and other KPIs. Each week, our system sifts through millions of listing observations and other pockets of market information to deliver the most comprehensive picture of rental housing available.

This is a metric that we try not to overthink. Simply, we take each unique listing observation within a geographic boundary and calculate a simple average. Of course, we're careful to filter for duplicates and other listings that aren't reflective of the market.

Yes, but please attribute us accordingly.

Yes. We can deliver bulk raw data in various formats. Please contact us to discuss - [email protected]

While some of our data is refreshed daily and other data comes in weekly, the bulk of it comes in on a biweekly basis.

Our coverage is nationwide! In our platform, we have data points for every ZIP code and neighborhood boundary in the country.

Every rental housing unit is differentiated by attributes such as its location, square footage, and amenity composition. Thanks to machine learning and natural language processing technologies we deploy, we're able to deconstruct our rental listing data points and identify key amenities for each listing. With this information, we're able to give signals around how certain amenities drive rental pricing value in certain areas.

Well, we think so! At the highest level, our process is simple. Listings data is ingested, cleaned (de-duplicated. etc.), analyzed for insights, and then presented to our users.
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