Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gratiot County, MI
Series ID MHICILBMI26057A052NCEN
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 2:33 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 22344
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26376
1994-01-01 .
1995-01-01 28684
1996-01-01 .
1997-01-01 30870
1998-01-01 32112
1999-01-01 33908
2000-01-01 34940
2001-01-01 34174
2002-01-01 34094
2003-01-01 35004
2004-01-01 35593
2005-01-01 38875
2006-01-01 37935
2007-01-01 38429
2008-01-01 39881
2009-01-01 33929
2010-01-01 37067
2011-01-01 37109
2012-01-01 39770
2013-01-01 39800
2014-01-01 39900
2015-01-01 39879
2016-01-01 39386
2017-01-01 40225
2018-01-01 45627
2019-01-01 48140
2020-01-01 49300
2021-01-01 51377
2022-01-01 54036
2023-01-01 54752

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