Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Warren County, IN
Series ID MHICILBIN18171A052NCEN
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 3:13 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 23704
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29091
1994-01-01 .
1995-01-01 30127
1996-01-01 .
1997-01-01 33015
1998-01-01 35553
1999-01-01 37566
2000-01-01 39643
2001-01-01 39840
2002-01-01 39415
2003-01-01 40751
2004-01-01 43637
2005-01-01 44112
2006-01-01 40737
2007-01-01 44910
2008-01-01 48367
2009-01-01 46311
2010-01-01 45595
2011-01-01 45152
2012-01-01 48835
2013-01-01 49671
2014-01-01 50482
2015-01-01 52362
2016-01-01 50740
2017-01-01 51992
2018-01-01 54050
2019-01-01 57207
2020-01-01 58899
2021-01-01 56452
2022-01-01 66463
2023-01-01 65548

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