Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, OH
Series ID MHICILBOH39019A052NCEN
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 2:32 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 22991
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26774
1994-01-01 .
1995-01-01 29249
1996-01-01 .
1997-01-01 31122
1998-01-01 33118
1999-01-01 33198
2000-01-01 34499
2001-01-01 33709
2002-01-01 33714
2003-01-01 34045
2004-01-01 34770
2005-01-01 35222
2006-01-01 35795
2007-01-01 40577
2008-01-01 41015
2009-01-01 37214
2010-01-01 36169
2011-01-01 38269
2012-01-01 39597
2013-01-01 40897
2014-01-01 42190
2015-01-01 48197
2016-01-01 44645
2017-01-01 46509
2018-01-01 45677
2019-01-01 52039
2020-01-01 47740
2021-01-01 51719
2022-01-01 56808
2023-01-01 63289

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