How long do people stay in their homes in the Town of Reading, NY?

Name: How long people stay in the Town of Reading, NY, 2020–2024
Creator: US Census Bureau
License: https://www.census.gov/data/developers/about/terms-of-service.html

13.7% (±4.5 points) of households in the Town of Reading, NY moved into their current home in 2020 or later (2020–2024 American Community Survey).

25.7% have lived in it since before 2000.

Figures last updated on November 12, 2026.

Moved in 2020 or later: 13.7% (±4.5 points)
Since before 2000: 25.7%

When households in the Town of Reading moved in

Occupied housing units by year the householder moved in, 2020–2024
Moved in	Town of Reading	Schuyler County	New York	United States
2023 or later	2.7% (±1.8 points)	3.2%	3.6%	4.6%
2020 to 2022	11.0% (±4.1 points)	14.3%	16.9%	20.2%
2010 to 2019	35.5% (±6.5 points)	36.9%	36.5%	39.6%
2000 to 2009	25.0% (±8.2 points)	18.7%	17.8%	16.4%
1990 to 1999	11.9% (±4.1 points)	12.4%	11.7%	9.6%
1989 or earlier	13.8% (±4.8 points)	14.6%	13.5%	9.5%

A high share of recent movers usually means more renting households and more turnover; a high share of long-time residents usually means more owners who have stayed.

In the Town of Reading, the share of households that moved in since 2020 is not measurably different from Schuyler County (17.5%).

It is also lower than in New York (20.5%).

It is lower than the national figure (24.8%).

Households that moved in since 2020 in places near the Town of Reading

Nearest places with a published estimate, compared with the Town of Reading
Place	Distance	Households that moved in since 2020	Compared with this place
Town of Reading	—	13.7% (±4.5 points)	—
Village of Watkins Glen	4.5 mi	27.0% (±8.5 points)	Higher
Village of Burdett	4.8 mi	16.8% (±11.1 points)	Not measurably different
Town of Tyrone	5.6 mi	17.4% (±5.6 points)	Not measurably different
Town of Dix	6.2 mi	16.5% (±5.5 points)	Not measurably different
Village of Montour Falls	6.7 mi	23.9% (±9.0 points)	Higher
Town of Starkey	7.2 mi	25.8% (±8.2 points)	Higher
Town of Orange	7.3 mi	11.8% (±10.3 points)	Not measurably different
Village of Dundee	7.4 mi	24.0% (±7.8 points)	Higher

Nearby places with a measurably higher figure: Village of Watkins Glen, NY (27.0%), Village of Montour Falls, NY (23.9%), Town of Starkey, NY (25.8%).

Distance is measured in a straight line between the Census Bureau’s internal points for each place.

Households that moved in since 2020 across Schuyler County, place by place

Rank	Place	Households that moved in since 2020
1	Town of Catharine	21.2% (±7.3 points)
2	Town of Montour	19.4% (±6.6 points)
3	Town of Hector	18.9% (±5.7 points)
4	Town of Cayuta	18.8% (±20.7 points)
5	Town of Tyrone	17.4% (±5.6 points)
6	Town of Dix	16.5% (±5.5 points)
7	Town of Reading	13.7% (±4.5 points)
8	Town of Orange	11.8% (±10.3 points)

A New York town includes the villages and hamlets inside it, so the figures for the Town of Reading include them.

Survey years: 2020–2024 (American Community Survey 5-year estimates).

Margins of error are at the 90% confidence level.

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Questions about Town of Reading

How often do people move in the Town of Reading?

13.7% of households in the Town of Reading, NY moved into their home in 2020 or later (2020–2024 American Community Survey).

How many long-time residents does the Town of Reading have?

25.7% of households in the Town of Reading have lived in their home since 1999 or earlier.

Sources

Selected Housing Characteristics (DP04), 2020–2024 ACS 5-year estimates — Reading town, Schuyler County, New York

To check these figures in the Census Bureau’s own API, request the variables below from the 2024 ACS 5-year data profile (acs/acs5/profile) for Reading town, Schuyler County, New York (county subdivision:60763, in state:36 county:097).

Each estimate (E or PE) has a margin of error beside it (M or PM).

The API needs a free key.

Request a Census API key.

DP04_0051PE, DP04_0051PM, DP04_0052PE, DP04_0052PM, DP04_0053PE, DP04_0053PM, DP04_0054PE, DP04_0054PM, DP04_0055PE, DP04_0055PM, DP04_0056PE, DP04_0056PM

This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.

Figures are published by the US Census Bureau, HUD, the Bureau of Labor Statistics and the FBI; Seayora reproduces them and does not adjust them, except where a sentence says it compares dollar figures after inflation. They describe the whole place, not any one building or street, and are not an appraisal, a rent determination, a tax bill, a safety rating or legal advice.