Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Barry County, MI
Series ID MHICILBMI26015A052NCEN
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 26593
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32025
1994-01-01 .
1995-01-01 34263
1996-01-01 .
1997-01-01 40838
1998-01-01 42688
1999-01-01 43307
2000-01-01 44662
2001-01-01 44685
2002-01-01 44988
2003-01-01 45416
2004-01-01 46442
2005-01-01 46247
2006-01-01 48078
2007-01-01 49122
2008-01-01 50530
2009-01-01 49779
2010-01-01 47799
2011-01-01 46813
2012-01-01 52688
2013-01-01 47598
2014-01-01 53470
2015-01-01 53201
2016-01-01 56090
2017-01-01 54809
2018-01-01 59939
2019-01-01 63632
2020-01-01 61695
2021-01-01 63765
2022-01-01 64689

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