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 Warren County, PA Series ID: MHICILBPA42123A052NCEN 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 24501 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27535 1994-01-01 . 1995-01-01 29044 1996-01-01 . 1997-01-01 30754 1998-01-01 31903 1999-01-01 32717 2000-01-01 33946 2001-01-01 33510 2002-01-01 33211 2003-01-01 34130 2004-01-01 35083 2005-01-01 35752 2006-01-01 37278 2007-01-01 37943 2008-01-01 38980 2009-01-01 36977 2010-01-01 38440 2011-01-01 38585 2012-01-01 42538 2013-01-01 39043 2014-01-01 41148 2015-01-01 42619 2016-01-01 40366 2017-01-01 46508 2018-01-01 48151 2019-01-01 47900 2020-01-01 46040 2021-01-01 50116 2022-01-01 53160