Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, IN
Series ID MHICILBIN18025A052NCEN
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 1:12 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 17009
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21477
1994-01-01 .
1995-01-01 23825
1996-01-01 .
1997-01-01 25555
1998-01-01 27538
1999-01-01 29833
2000-01-01 31251
2001-01-01 30677
2002-01-01 31096
2003-01-01 32785
2004-01-01 33417
2005-01-01 31798
2006-01-01 33907
2007-01-01 34356
2008-01-01 34831
2009-01-01 33241
2010-01-01 36273
2011-01-01 33822
2012-01-01 36760
2013-01-01 34314
2014-01-01 37412
2015-01-01 37114
2016-01-01 42674
2017-01-01 38071
2018-01-01 39878
2019-01-01 39228
2020-01-01 40459
2021-01-01 45973
2022-01-01 47030

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