Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Luce County, MI
Series ID MHICILBMI26095A052NCEN
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 18784
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21131
1994-01-01 .
1995-01-01 23255
1996-01-01 .
1997-01-01 25022
1998-01-01 26000
1999-01-01 28620
2000-01-01 29493
2001-01-01 28993
2002-01-01 29222
2003-01-01 29932
2004-01-01 30818
2005-01-01 31709
2006-01-01 32154
2007-01-01 34268
2008-01-01 33250
2009-01-01 33362
2010-01-01 32669
2011-01-01 33031
2012-01-01 34912
2013-01-01 34512
2014-01-01 33879
2015-01-01 37993
2016-01-01 37625
2017-01-01 40171
2018-01-01 38640
2019-01-01 41222
2020-01-01 41997
2021-01-01 42818
2022-01-01 43478

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