Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pike County, OH
Series ID MHICILBOH39131A052NCEN
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 1:12 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 17584
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20387
1994-01-01 .
1995-01-01 23821
1996-01-01 .
1997-01-01 24839
1998-01-01 26356
1999-01-01 28643
2000-01-01 29944
2001-01-01 29400
2002-01-01 29724
2003-01-01 30909
2004-01-01 31248
2005-01-01 30916
2006-01-01 30988
2007-01-01 32124
2008-01-01 33605
2009-01-01 35573
2010-01-01 32061
2011-01-01 34206
2012-01-01 33866
2013-01-01 37908
2014-01-01 36624
2015-01-01 35983
2016-01-01 38700
2017-01-01 38916
2018-01-01 40865
2019-01-01 40897
2020-01-01 40638
2021-01-01 43612
2022-01-01 48739

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