Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Greeley County, KS
Series ID MHICILBKS20071A052NCEN
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 1:54 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 26525
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31282
1994-01-01 .
1995-01-01 27733
1996-01-01 .
1997-01-01 30340
1998-01-01 34716
1999-01-01 33888
2000-01-01 34544
2001-01-01 34193
2002-01-01 30375
2003-01-01 32241
2004-01-01 31094
2005-01-01 33469
2006-01-01 33454
2007-01-01 35908
2008-01-01 40240
2009-01-01 42690
2010-01-01 42975
2011-01-01 43608
2012-01-01 46373
2013-01-01 45596
2014-01-01 47352
2015-01-01 41126
2016-01-01 42503
2017-01-01 43518
2018-01-01 45933
2019-01-01 52120
2020-01-01 56167
2021-01-01 58106
2022-01-01 65447

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