Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, KS
Series ID MHICILBKS20067A052NCEN
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 2:33 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 27346
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35282
1994-01-01 .
1995-01-01 36483
1996-01-01 .
1997-01-01 40451
1998-01-01 40527
1999-01-01 38317
2000-01-01 38643
2001-01-01 40015
2002-01-01 39392
2003-01-01 39920
2004-01-01 41294
2005-01-01 40126
2006-01-01 46524
2007-01-01 45564
2008-01-01 53527
2009-01-01 47539
2010-01-01 46497
2011-01-01 48786
2012-01-01 48269
2013-01-01 51029
2014-01-01 55456
2015-01-01 53157
2016-01-01 52290
2017-01-01 52820
2018-01-01 54865
2019-01-01 57372
2020-01-01 57343
2021-01-01 56420
2022-01-01 57992
2023-01-01 57200

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