NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harvey County, KS Series ID: MHICILBKS20079A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 25946 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30864 1994-01-01 . 1995-01-01 34357 1996-01-01 . 1997-01-01 36474 1998-01-01 38529 1999-01-01 38075 2000-01-01 39446 2001-01-01 39188 2002-01-01 39450 2003-01-01 40223 2004-01-01 41488 2005-01-01 40603 2006-01-01 43286 2007-01-01 43007 2008-01-01 46255 2009-01-01 44867 2010-01-01 42954 2011-01-01 46574 2012-01-01 45461 2013-01-01 49341 2014-01-01 50212 2015-01-01 51443 2016-01-01 52180 2017-01-01 51058 2018-01-01 52709 2019-01-01 57468 2020-01-01 57536 2021-01-01 59082 2022-01-01 68110