Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cameron County, PA Series ID: MHICILBPA42023A052NCEN 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 1:53 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 21677 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23356 1994-01-01 . 1995-01-01 24824 1996-01-01 . 1997-01-01 27958 1998-01-01 30421 1999-01-01 30913 2000-01-01 31587 2001-01-01 30289 2002-01-01 30396 2003-01-01 31664 2004-01-01 32577 2005-01-01 30607 2006-01-01 34127 2007-01-01 34152 2008-01-01 34015 2009-01-01 32921 2010-01-01 32940 2011-01-01 34703 2012-01-01 36116 2013-01-01 34364 2014-01-01 36456 2015-01-01 38402 2016-01-01 35251 2017-01-01 36785 2018-01-01 39776 2019-01-01 38662 2020-01-01 39445 2021-01-01 42016 2022-01-01 44149