Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Williams County, OH
Series ID MHICIUBOH39171A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:09 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 30711
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34773
1994-01-01 .
1995-01-01 38073
1996-01-01 .
1997-01-01 40625
1998-01-01 41674
1999-01-01 42134
2000-01-01 44623
2001-01-01 43163
2002-01-01 43122
2003-01-01 43297
2004-01-01 44709
2005-01-01 45816
2006-01-01 45849
2007-01-01 48511
2008-01-01 50272
2009-01-01 44064
2010-01-01 44994
2011-01-01 43247
2012-01-01 45965
2013-01-01 48564
2014-01-01 44907
2015-01-01 53228
2016-01-01 53347
2017-01-01 53804
2018-01-01 58621
2019-01-01 57273
2020-01-01 59619
2021-01-01 61806
2022-01-01 65768

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