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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Delta County, MI
Series ID MHICILBMI26041A052NCEN
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 21485
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25109
1994-01-01 .
1995-01-01 28076
1996-01-01 .
1997-01-01 30165
1998-01-01 31583
1999-01-01 33037
2000-01-01 34137
2001-01-01 33443
2002-01-01 33844
2003-01-01 35002
2004-01-01 36355
2005-01-01 34653
2006-01-01 36202
2007-01-01 38911
2008-01-01 40438
2009-01-01 38059
2010-01-01 35951
2011-01-01 38006
2012-01-01 38924
2013-01-01 38073
2014-01-01 39883
2015-01-01 39642
2016-01-01 40080
2017-01-01 48098
2018-01-01 45825
2019-01-01 44791
2020-01-01 43583
2021-01-01 48049
2022-01-01 50756
2023-01-01 52104
2024-01-01 55649

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