Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, MI
Series ID MHICILBMI26075A052NCEN
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 25347
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30841
1994-01-01 .
1995-01-01 33143
1996-01-01 .
1997-01-01 35359
1998-01-01 36900
1999-01-01 38562
2000-01-01 40773
2001-01-01 39915
2002-01-01 39462
2003-01-01 40128
2004-01-01 41008
2005-01-01 44957
2006-01-01 41882
2007-01-01 42167
2008-01-01 44752
2009-01-01 44813
2010-01-01 40968
2011-01-01 40341
2012-01-01 41164
2013-01-01 41948
2014-01-01 43293
2015-01-01 48204
2016-01-01 47579
2017-01-01 48468
2018-01-01 49019
2019-01-01 52253
2020-01-01 51657
2021-01-01 55751
2022-01-01 56316

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