Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, MO
Series ID MHICIUBMO29055A052NCEN
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 1:52 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 21842
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24587
1994-01-01 .
1995-01-01 28528
1996-01-01 .
1997-01-01 30215
1998-01-01 31221
1999-01-01 31758
2000-01-01 33912
2001-01-01 33019
2002-01-01 33672
2003-01-01 34498
2004-01-01 35156
2005-01-01 35606
2006-01-01 38762
2007-01-01 37214
2008-01-01 36827
2009-01-01 37662
2010-01-01 37427
2011-01-01 41171
2012-01-01 37883
2013-01-01 40752
2014-01-01 41199
2015-01-01 42119
2016-01-01 45069
2017-01-01 43173
2018-01-01 46211
2019-01-01 51163
2020-01-01 47969
2021-01-01 54927
2022-01-01 57213

Subscribe to the FRED newsletter


Follow us

Back to Top