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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washtenaw County, MI
Series ID MHICILBMI26161A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:09 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 35209
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40467
1994-01-01 .
1995-01-01 44440
1996-01-01 .
1997-01-01 48456
1998-01-01 51491
1999-01-01 49901
2000-01-01 51504
2001-01-01 50381
2002-01-01 49917
2003-01-01 51323
2004-01-01 52138
2005-01-01 51873
2006-01-01 55196
2007-01-01 59335
2008-01-01 56247
2009-01-01 53177
2010-01-01 54026
2011-01-01 54802
2012-01-01 54721
2013-01-01 57297
2014-01-01 60785
2015-01-01 60169
2016-01-01 63305
2017-01-01 67864
2018-01-01 69033
2019-01-01 73675
2020-01-01 73455
2021-01-01 74079
2022-01-01 76527
2023-01-01 80307
2024-01-01 87461

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