Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kenai Peninsula Borough, AK Series ID: MHICILBAK02122A052NCEN 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 34112 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 41177 1994-01-01 . 1995-01-01 47314 1996-01-01 . 1997-01-01 43507 1998-01-01 43631 1999-01-01 41135 2000-01-01 44028 2001-01-01 43977 2002-01-01 45581 2003-01-01 45839 2004-01-01 45644 2005-01-01 45032 2006-01-01 51012 2007-01-01 52497 2008-01-01 50165 2009-01-01 52634 2010-01-01 53030 2011-01-01 56570 2012-01-01 56539 2013-01-01 56749 2014-01-01 59243 2015-01-01 57347 2016-01-01 63966 2017-01-01 58391 2018-01-01 62030 2019-01-01 61859 2020-01-01 63523 2021-01-01 63530 2022-01-01 69043