Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ford County, KS
Series ID MHICILBKS20057A052NCEN
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 23085
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26777
1994-01-01 .
1995-01-01 29084
1996-01-01 .
1997-01-01 31344
1998-01-01 33304
1999-01-01 34368
2000-01-01 35565
2001-01-01 34796
2002-01-01 34005
2003-01-01 34188
2004-01-01 34301
2005-01-01 34296
2006-01-01 37299
2007-01-01 41773
2008-01-01 40834
2009-01-01 43283
2010-01-01 40080
2011-01-01 44169
2012-01-01 43130
2013-01-01 42829
2014-01-01 46358
2015-01-01 43774
2016-01-01 43114
2017-01-01 45683
2018-01-01 50747
2019-01-01 48393
2020-01-01 48924
2021-01-01 61482
2022-01-01 60374
2023-01-01 61585

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