Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wyandot County, OH
Series ID MHICILBOH39175A052NCEN
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 1:53 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 23636
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28220
1994-01-01 .
1995-01-01 29595
1996-01-01 .
1997-01-01 32175
1998-01-01 33526
1999-01-01 35021
2000-01-01 36684
2001-01-01 36257
2002-01-01 36609
2003-01-01 38334
2004-01-01 39829
2005-01-01 40122
2006-01-01 41099
2007-01-01 43272
2008-01-01 43478
2009-01-01 36731
2010-01-01 40426
2011-01-01 41249
2012-01-01 42310
2013-01-01 43347
2014-01-01 44058
2015-01-01 47165
2016-01-01 51968
2017-01-01 43494
2018-01-01 50857
2019-01-01 56070
2020-01-01 56175
2021-01-01 59473
2022-01-01 58382

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