Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Paulding County, OH
Series ID MHICILBOH39125A052NCEN
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 26508
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30768
1994-01-01 .
1995-01-01 31346
1996-01-01 .
1997-01-01 34488
1998-01-01 35662
1999-01-01 36730
2000-01-01 37953
2001-01-01 37671
2002-01-01 37399
2003-01-01 37853
2004-01-01 39241
2005-01-01 38788
2006-01-01 40916
2007-01-01 41615
2008-01-01 42631
2009-01-01 43568
2010-01-01 40238
2011-01-01 38817
2012-01-01 41296
2013-01-01 43605
2014-01-01 43167
2015-01-01 46215
2016-01-01 46178
2017-01-01 47633
2018-01-01 48653
2019-01-01 52423
2020-01-01 55540
2021-01-01 54968
2022-01-01 60890

Subscribe to the FRED newsletter


Follow us

Back to Top