Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Monroe County, OH
Series ID MHICILBOH39111A052NCEN
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 3:13 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 19819
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21506
1994-01-01 .
1995-01-01 23096
1996-01-01 .
1997-01-01 25016
1998-01-01 26608
1999-01-01 28522
2000-01-01 29619
2001-01-01 29176
2002-01-01 29772
2003-01-01 31401
2004-01-01 32057
2005-01-01 28033
2006-01-01 30105
2007-01-01 32691
2008-01-01 37259
2009-01-01 33643
2010-01-01 35600
2011-01-01 35750
2012-01-01 39811
2013-01-01 37506
2014-01-01 37660
2015-01-01 37581
2016-01-01 40117
2017-01-01 41154
2018-01-01 41319
2019-01-01 42892
2020-01-01 41621
2021-01-01 47942
2022-01-01 50688
2023-01-01 47939

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