Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lenawee County, MI
Series ID MHICILBMI26091A052NCEN
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 27526
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32736
1994-01-01 .
1995-01-01 36250
1996-01-01 .
1997-01-01 37779
1998-01-01 39889
1999-01-01 41473
2000-01-01 42931
2001-01-01 42144
2002-01-01 42447
2003-01-01 44391
2004-01-01 45100
2005-01-01 46166
2006-01-01 45652
2007-01-01 47101
2008-01-01 48076
2009-01-01 43884
2010-01-01 43663
2011-01-01 42782
2012-01-01 45967
2013-01-01 44280
2014-01-01 44829
2015-01-01 46549
2016-01-01 49477
2017-01-01 53030
2018-01-01 53013
2019-01-01 51713
2020-01-01 54490
2021-01-01 57562
2022-01-01 63045

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