Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Decatur County, IN
Series ID MHICILBIN18031A052NCEN
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 25457
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31303
1994-01-01 .
1995-01-01 33699
1996-01-01 .
1997-01-01 36843
1998-01-01 37808
1999-01-01 38026
2000-01-01 39358
2001-01-01 38962
2002-01-01 39740
2003-01-01 40356
2004-01-01 41376
2005-01-01 40697
2006-01-01 42300
2007-01-01 42379
2008-01-01 45349
2009-01-01 40936
2010-01-01 47042
2011-01-01 40717
2012-01-01 43761
2013-01-01 43379
2014-01-01 45674
2015-01-01 46728
2016-01-01 49052
2017-01-01 52017
2018-01-01 51863
2019-01-01 55186
2020-01-01 53524
2021-01-01 58816
2022-01-01 58508

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