Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gladwin County, MI
Series ID MHICILBMI26051A052NCEN
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 17487
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19587
1994-01-01 .
1995-01-01 23351
1996-01-01 .
1997-01-01 24746
1998-01-01 27302
1999-01-01 29423
2000-01-01 30723
2001-01-01 29864
2002-01-01 30185
2003-01-01 31410
2004-01-01 32162
2005-01-01 33004
2006-01-01 34307
2007-01-01 32907
2008-01-01 35219
2009-01-01 34538
2010-01-01 33229
2011-01-01 32380
2012-01-01 35465
2013-01-01 32173
2014-01-01 37237
2015-01-01 38681
2016-01-01 38614
2017-01-01 39747
2018-01-01 41865
2019-01-01 43565
2020-01-01 43455
2021-01-01 45280
2022-01-01 50237

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