Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yates County, NY

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yates County, NY
Series ID MHICILBNY36123A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2024-01-01
Last Updated 2026-02-09 7:08 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 21385
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25443
1994-01-01 .
1995-01-01 26918
1996-01-01 .
1997-01-01 28840
1998-01-01 30478
1999-01-01 31747
2000-01-01 32869
2001-01-01 32172
2002-01-01 32074
2003-01-01 32847
2004-01-01 34855
2005-01-01 36507
2006-01-01 38023
2007-01-01 37811
2008-01-01 37704
2009-01-01 39243
2010-01-01 40301
2011-01-01 41106
2012-01-01 40546
2013-01-01 42056
2014-01-01 44676
2015-01-01 42092
2016-01-01 44303
2017-01-01 44690
2018-01-01 46685
2019-01-01 57541
2020-01-01 48962
2021-01-01 58558
2022-01-01 56234
2023-01-01 59725
2024-01-01 64372

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