Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Barry County, MO
Series ID MHICILBMO29009A052NCEN
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 3:13 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 16704
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20118
1994-01-01 .
1995-01-01 22205
1996-01-01 .
1997-01-01 23456
1998-01-01 25042
1999-01-01 26746
2000-01-01 27924
2001-01-01 27457
2002-01-01 27495
2003-01-01 28881
2004-01-01 29174
2005-01-01 29801
2006-01-01 31368
2007-01-01 31720
2008-01-01 36436
2009-01-01 33401
2010-01-01 32218
2011-01-01 33586
2012-01-01 31894
2013-01-01 33380
2014-01-01 35247
2015-01-01 34385
2016-01-01 34688
2017-01-01 38429
2018-01-01 38314
2019-01-01 42861
2020-01-01 41857
2021-01-01 42318
2022-01-01 45132
2023-01-01 48316

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