Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, IN
Series ID MHICIUBIN18025A052NCEN
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 1:53 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 21561
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26010
1994-01-01 .
1995-01-01 29975
1996-01-01 .
1997-01-01 31786
1998-01-01 33705
1999-01-01 34014
2000-01-01 36493
2001-01-01 35187
2002-01-01 35672
2003-01-01 37177
2004-01-01 37887
2005-01-01 37680
2006-01-01 40573
2007-01-01 41528
2008-01-01 42475
2009-01-01 40382
2010-01-01 42443
2011-01-01 41526
2012-01-01 42308
2013-01-01 41714
2014-01-01 43902
2015-01-01 45548
2016-01-01 49746
2017-01-01 47039
2018-01-01 48426
2019-01-01 49436
2020-01-01 53309
2021-01-01 58089
2022-01-01 60064

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