Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Daviess County, IN
Series ID MHICILBIN18027A052NCEN
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 19537
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24871
1994-01-01 .
1995-01-01 26050
1996-01-01 .
1997-01-01 28149
1998-01-01 29383
1999-01-01 31194
2000-01-01 32677
2001-01-01 32426
2002-01-01 32432
2003-01-01 33862
2004-01-01 35171
2005-01-01 33901
2006-01-01 36397
2007-01-01 38147
2008-01-01 39332
2009-01-01 38404
2010-01-01 39214
2011-01-01 41096
2012-01-01 42021
2013-01-01 42114
2014-01-01 44140
2015-01-01 42857
2016-01-01 45734
2017-01-01 43008
2018-01-01 51021
2019-01-01 51223
2020-01-01 47358
2021-01-01 53340
2022-01-01 58701
2023-01-01 71527

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