Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbiana County, OH
Series ID MHICILBOH39029A052NCEN
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 1:54 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 21473
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24271
1994-01-01 .
1995-01-01 27313
1996-01-01 .
1997-01-01 29340
1998-01-01 30120
1999-01-01 31487
2000-01-01 32501
2001-01-01 31934
2002-01-01 32071
2003-01-01 32687
2004-01-01 33535
2005-01-01 34782
2006-01-01 36169
2007-01-01 37188
2008-01-01 38215
2009-01-01 35571
2010-01-01 34643
2011-01-01 39289
2012-01-01 40036
2013-01-01 39305
2014-01-01 39945
2015-01-01 40290
2016-01-01 43719
2017-01-01 40243
2018-01-01 41931
2019-01-01 49520
2020-01-01 43755
2021-01-01 46507
2022-01-01 50242

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