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 Lincoln County, ID Series ID: MHICILBID16063A052NCEN 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 (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 18756 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23087 1994-01-01 . 1995-01-01 23670 1996-01-01 . 1997-01-01 26891 1998-01-01 27760 1999-01-01 30340 2000-01-01 32089 2001-01-01 31892 2002-01-01 32151 2003-01-01 33372 2004-01-01 34405 2005-01-01 34551 2006-01-01 33998 2007-01-01 36207 2008-01-01 39001 2009-01-01 44097 2010-01-01 35991 2011-01-01 37073 2012-01-01 38548 2013-01-01 38628 2014-01-01 40155 2015-01-01 42095 2016-01-01 42829 2017-01-01 44295 2018-01-01 45635 2019-01-01 44897 2020-01-01 50383 2021-01-01 51114 2022-01-01 54940