Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Holmes County, OH
Series ID MHICILBOH39075A052NCEN
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 2:32 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 22157
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26848
1994-01-01 .
1995-01-01 28658
1996-01-01 .
1997-01-01 30334
1998-01-01 31737
1999-01-01 33309
2000-01-01 34854
2001-01-01 34824
2002-01-01 35197
2003-01-01 36326
2004-01-01 37291
2005-01-01 39632
2006-01-01 39312
2007-01-01 40619
2008-01-01 40708
2009-01-01 39538
2010-01-01 37243
2011-01-01 42440
2012-01-01 40172
2013-01-01 45720
2014-01-01 46166
2015-01-01 49385
2016-01-01 55428
2017-01-01 57407
2018-01-01 56741
2019-01-01 58556
2020-01-01 59461
2021-01-01 62740
2022-01-01 68107
2023-01-01 66593

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