Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Genesee County, MI
Series ID MHICILBMI26049A052NCEN
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 1:11 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 26906
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31855
1994-01-01 .
1995-01-01 36326
1996-01-01 .
1997-01-01 37415
1998-01-01 37566
1999-01-01 37639
2000-01-01 39257
2001-01-01 37920
2002-01-01 37316
2003-01-01 37993
2004-01-01 38417
2005-01-01 41114
2006-01-01 40819
2007-01-01 41623
2008-01-01 43214
2009-01-01 39778
2010-01-01 37602
2011-01-01 39728
2012-01-01 39209
2013-01-01 39858
2014-01-01 40585
2015-01-01 42418
2016-01-01 42828
2017-01-01 44953
2018-01-01 46383
2019-01-01 48789
2020-01-01 45389
2021-01-01 50861
2022-01-01 54507

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