Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Holt County, MO
Series ID MHICILBMO29087A052NCEN
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 16572
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19622
1994-01-01 .
1995-01-01 20596
1996-01-01 .
1997-01-01 24858
1998-01-01 25515
1999-01-01 27205
2000-01-01 28439
2001-01-01 28185
2002-01-01 28080
2003-01-01 29644
2004-01-01 30721
2005-01-01 29582
2006-01-01 33443
2007-01-01 32844
2008-01-01 33741
2009-01-01 34948
2010-01-01 36112
2011-01-01 37173
2012-01-01 36225
2013-01-01 38795
2014-01-01 37807
2015-01-01 39482
2016-01-01 38375
2017-01-01 42433
2018-01-01 42582
2019-01-01 42028
2020-01-01 43716
2021-01-01 48236
2022-01-01 46207

Subscribe to the FRED newsletter


Follow us

Back to Top