Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Caroline County, MD Series ID: MHICILBMD24011A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:58 AM 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 22305 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27592 1994-01-01 . 1995-01-01 27794 1996-01-01 . 1997-01-01 29779 1998-01-01 31147 1999-01-01 33881 2000-01-01 35823 2001-01-01 35426 2002-01-01 35616 2003-01-01 36903 2004-01-01 38917 2005-01-01 42491 2006-01-01 42312 2007-01-01 44076 2008-01-01 51073 2009-01-01 44760 2010-01-01 52515 2011-01-01 46596 2012-01-01 46256 2013-01-01 42228 2014-01-01 46577 2015-01-01 47037 2016-01-01 46489 2017-01-01 51747 2018-01-01 51317 2019-01-01 54279 2020-01-01 53218 2021-01-01 55926