Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Miami County, OH
Series ID MHICIUBOH39109A052NCEN
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 1:51 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 32148
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37812
1994-01-01 .
1995-01-01 41553
1996-01-01 .
1997-01-01 44630
1998-01-01 45553
1999-01-01 45726
2000-01-01 48539
2001-01-01 47413
2002-01-01 47314
2003-01-01 47673
2004-01-01 48812
2005-01-01 48954
2006-01-01 51755
2007-01-01 53127
2008-01-01 55696
2009-01-01 52049
2010-01-01 51472
2011-01-01 51272
2012-01-01 55628
2013-01-01 54891
2014-01-01 54796
2015-01-01 55333
2016-01-01 63106
2017-01-01 64036
2018-01-01 63985
2019-01-01 68073
2020-01-01 70060
2021-01-01 69495
2022-01-01 79123

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