Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kent County, MI
Series ID MHICILBMI26081A052NCEN
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 29619
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35135
1994-01-01 .
1995-01-01 36735
1996-01-01 .
1997-01-01 41835
1998-01-01 44167
1999-01-01 43145
2000-01-01 44428
2001-01-01 43786
2002-01-01 43785
2003-01-01 44387
2004-01-01 45151
2005-01-01 45572
2006-01-01 46075
2007-01-01 48055
2008-01-01 49331
2009-01-01 46230
2010-01-01 46442
2011-01-01 49223
2012-01-01 49326
2013-01-01 50702
2014-01-01 51965
2015-01-01 52854
2016-01-01 58232
2017-01-01 59752
2018-01-01 59993
2019-01-01 64720
2020-01-01 61703
2021-01-01 70047
2022-01-01 74194
2023-01-01 76954

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