Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Holmes County, OH

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Holmes County, OH
Series ID MHICIUBOH39075A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 26704
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31406
1994-01-01 .
1995-01-01 34898
1996-01-01 .
1997-01-01 36532
1998-01-01 37835
1999-01-01 37975
2000-01-01 40540
2001-01-01 40052
2002-01-01 40474
2003-01-01 41257
2004-01-01 42350
2005-01-01 45803
2006-01-01 45967
2007-01-01 46575
2008-01-01 47204
2009-01-01 45976
2010-01-01 42591
2011-01-01 49346
2012-01-01 47076
2013-01-01 52516
2014-01-01 53972
2015-01-01 57695
2016-01-01 62138
2017-01-01 65779
2018-01-01 64915
2019-01-01 66636
2020-01-01 76473
2021-01-01 77314
2022-01-01 82345
2023-01-01 82387

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