Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pickaway County, OH
Series ID MHICIUBOH39129A052NCEN
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 3:11 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 29898
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34801
1994-01-01 .
1995-01-01 38089
1996-01-01 .
1997-01-01 40931
1998-01-01 43270
1999-01-01 43518
2000-01-01 46040
2001-01-01 45289
2002-01-01 45274
2003-01-01 45459
2004-01-01 47486
2005-01-01 51429
2006-01-01 52341
2007-01-01 53192
2008-01-01 54785
2009-01-01 49548
2010-01-01 52903
2011-01-01 56124
2012-01-01 58777
2013-01-01 56937
2014-01-01 59661
2015-01-01 62717
2016-01-01 64126
2017-01-01 65424
2018-01-01 62724
2019-01-01 68606
2020-01-01 69760
2021-01-01 79465
2022-01-01 83922
2023-01-01 82867

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