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Table Data - Mean Commuting Time for Workers (5-year estimate) in Monroe County, NY

NOTE: To improve accessibility of data for all users, this file was converted from a text format to an html table.

Title Mean Commuting Time for Workers (5-year estimate) in Monroe County, NY
Series ID B080ACS036055
Source U.S. Census Bureau
Release Mean Commute Time (Not a Press Release)
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Minutes
Date Range 2009-01-01 to 2022-01-01
Last Updated 2023-12-07 11:25 AM CST
Notes Mean commuting time is calculated by dividing the aggregate travel time to work for all workers (in minutes) by the total number of workers, 16-years old and older, who commute (ACS 5-year variables B08013_001E from table B08013 and B08012_001E from table B08012, respectively).

Multiyear estimates from the American Community Survey (ACS) are "period" estimates derived from a data sample collected over a period of time, as opposed to "point-in-time" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.

Multiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.

Please see "Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification.
DATE VALUE
2009-01-01 19.006431740073610
2010-01-01 19.098956868367010
2011-01-01 19.453885509892995
2012-01-01 19.500150745818670
2013-01-01 19.550768972886896
2014-01-01 19.711017915019410
2015-01-01 19.895586030009480
2016-01-01 19.959373905940016
2017-01-01 20.069587173117117
2018-01-01 20.154481613147620
2019-01-01 20.357885721277377
2020-01-01 20.255230704029767
2021-01-01 20.085374525318848
2022-01-01 19.939300797238637

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