Capital Structures of the Indian Industrial Sector

Capital Structures of the Indian Industrial Sector Chapter 1 INTRODUCTION 1.1 Introduction Capital is the main factor of every industry, a company start with capital and end with demolition of that capital. So the capital and capital structure are one of the most important terms in every business, Companies have been struggling with capital structures for more than four decades. During credit expansions, companies have been unable to build enough liquidity to survive the contractions, especially those enterprises with unpredictable cash flow streams which end up with excess debt during business slowdowns In this research I am going to Exam the changes in the capital structure of Indian industrial sector, with a special reference to Indian textiles industry .The purpose of this paper is to determine whether firm-specific capital structure determinants in the emerging market of India. support the capital structure theories which were developed to explain the company structures in developed economies. In other words, the main motivation for this study is to highlight the role of firm characteristics and industrial sector-specific variables in determining capital structure. This is an attempt to a panel data study of capital structure determinants. Statement of the Problem There is lot of study conducted in the field of capital structure theory but no systematic study with applying econometric model and tools used like panel data are not conducted in India yet. It consist analyzing both time and cross sectional variables. There is No studies are conducted on specified sector. The study by sector wise is more effective than in macro level research which is avoid sector variable. Each industry has its own uniqueness and situations. When taking macro level data set will miss its sector uniqueness. This research is an enquiry through panel data analysis with considering sector as important factors. Specifically researcher tries to answer some questions, firstly which selected factors are more influence in short term leverage of a firm, and which is not influence on it . Secondly long term leverage has any determinate in Indian industry and which factors is more influenced in total debt decision. Also questioned extraneous variable like bank rate, inflation rate can make any impact on capital structure. The researcher conduct a pre study for specifying research problem. Pre study The pre study was conducted by analyzing all companies in india by classify these companies in sector wise. Assigning debt equity ratio as variable for prestudy, by Using cmie and Bloomberg database, researcher collect all companies 5year debt equity ratio and classified them in sector wise. Companies arranged under in a Automobiles ancillaries, Banking, chemical , communication, construction real estate, construction material, consumer goods sector, energy, food Agro, hotel tourism, IT, investment finance, Machinery, metal, mining ,textiles, transport and wholesale re tale sectors. Take 5 year average of all company and find out standard deviation of each sector. The value arranged below table. Table 1.1 .Result of Pre study Sectors Average Debt on equity Standard deviation Automobiles ancillaries index 1.06 3.561244 Banking services index 1.53 0.695391 Chemicals chemical products index 1.53 3.562817 Communication services index 1.54 21.75133 Construction real estate index 1.92 26.57946 Construction materials index 0.77 23.65846 Consumer goods index 1.72 8.326452 Energy index 1.36 2.520609 Food agro-based products index 1.45 7.826624 Hotels tourism index 1.33 18.53691 Information technology index 0.35 1.677905 Investment services index 0.24 1.035782 Machinery index 1.26 7.248118 Metals metal products index 1.3 16.62944 Pharma 1.63 86.75429 Mining index 0.34 6.509317 Textiles index 2.05 167.5378 Transport services index 1.68 2.88037 Wholesale retail trading index 1.68 34.62297 In this table textiles sector have very high debt equity and not ordinary deviation between companies. High standard deviation mean that in textile sector, some companies has very low debt and some has very high. It is india’s one of the oldest and major export sector too. Highest deviation and irregularity in debt is not a better sign. So need an attention on capital strucre determinant of Indian textile sector. Objectives of the study The goal of these studies is analyze various factors determining capital structure in Indian industries. Objective of the study is listed below; it is analyses three econometric model, short term, long term and total leverage of Indian textile sector. 1.2.1. Objective settled on the basis of second model short term debt leverage 1a. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of profitability on short term debt 1b. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of liquidity on short term debt 1c. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Tangibility on short term debt 1d. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Growth on short term debt 1e. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Bank rate on short term debt 1f. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of tax rate on short term debt 1g. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of on short term debt 1h. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of cost of debt on short term debt 1i. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Age of firm on short term debt 1j. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Size of firm on short term debt 1.2.2. Objective settled on the basis of second model long term debt leverage 2a. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of profitability on long term debt 2b. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of liquidity on long term debt 2c. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Tangibility on long term debt 2d. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Growth on long term debt 2e. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Bank rate on long t term debt 2f. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of tax rate on long t term debt 2g. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of inflation on long t term debt 2h. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of cost of debt on long term debt 2i. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Age of firm on long term debt 2j. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Size of firm on long term debt 1.2.3. Objective settled on the basis of Third model total debt leverage 3a. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of profitability on total debt 3b. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of liquidity on total debt 3c. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Tangibility on total debt 3d. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Growth on total debt 3e. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Bank rate on total debt 3f. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of tax rate on total debt 3g. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of on total debt 3h. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of cost of debt on total debt 3i. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Age of firm on total debt 3j. To study and analyses the determinant of a capital structure of Indian textiles sector investigating the impact of Size of firm on total debt Hypotheses The hypotheses of this research are set on the basis of above said objectives. Indian textiles companies on short term debt H01a = There is no significant impact of Indian textile companies’ profitability on short term debt H01b = There is no significant impact of Indian textile companies’ liquidity on short term debt H01c = There is no significant impact of Indian textile companies’ Tangibility on short term debt H01d = There is no significant impact of Indian textile companies’ growth on short term debt H01e = There is no significant impact of Indian textile companies’ bank rate on short term debt H01f = There is no significant impact of Indian textile companies’ tax rate on short term debt H01g = There is no significant impact of Indian textile companies’ inflation on short term debt H01h = There is no significant impact of Indian textile companies’ cost of debt on short term debt H01i = There is no significant impact of Indian textile companies’ age of firm on short term debt H01j = There is no significant impact of Indian textile companies’ size on short term debt Indian textiles companies on long term debt H02a = There is no significant impact of Indian textile companies’ profitability on long term debt H02b = There is no significant impact of Indian textile companies’ liquidity on long term debt H02c = There is no significant impact of Indian textile companies’ Tangibility on long term debt H02d = There is no significant impact of Indian textile companies’ growth on long term debt H02e = There is no significant impact of Indian textile companies’ bank rate on long term debt H02f = There is no significant impact of Indian textile companies’ tax rate on long term debt H02g = There is no significant impact of Indian textile companies’ inflation on long term debt H02h = There is no significant impact of Indian textile companies’ cost of debt on long term debt H02i = There is no significant impact of Indian textile companies’ age of firm on long term debt Indian textiles companies on total debt H03j = There is no significant impact of Indian textile companies’ size on Total debt H03a = There is no significant impact of Indian textile companies’ profitability on Total debt H03b = There is no significant impact of Indian textile companies’ liquidity on Total debt H03c = There is no significant impact of Indian textile companies’ Tangibility on Total debt H03d = There is no significant impact of Indian textile companies’ growth on Total debt H03e = There is no significant impact of Indian textile companies’ bank rate on Total debt H03f = There is no significant impact of Indian textile companies’ tax rate on Total debt H03g = There is no significant impact of Indian textile companies’ inflation on Total debt H03h = There is no significant impact of Indian textile companies’ cost of debt on Total debt H03i = There is no significant impact of Indian textile companies’ age of firm on Total debt H03j = There is no significant impact of Indian textile companies’ size on Total debt Significance and Scope of the study Capital and capital structure are one of the most important terms in every business; Companies have been struggling with capital structures for more than four decades. During credit expansions, companies have been unable to build enough liquidity to survive the contractions, especially those enterprises with unpredictable cash flow streams which end up with excess debt during business slowdowns. So researching about capital structure determinant is important. Especially in current condition, India is developing and emerging market, and also attracting capital with outside capita by ‘make in India’ project. The study significant in recent situation also finds out which factor are more influencing capital structure determinants. The study by sector wise is more effective than in macro level research which is avoid sector variable. Each industry has its own uniqueness and situations. When taking macro level data set will miss its sector uniqueness. This research is an enqui ry through panel data analysis with considering importance of sector. Research design and Methodology This research is designed on the basis of giving importance of sector uniqueness, the study conducted on the base of panel data analysis, which used time and cross sectional factors. 1.7.1 Research Design This research set three econometric models. On the basis of this model three dependants (long term debt ratio, short term debt ratio and total debt ratio) and ten independent variables are created. The three econometric models are for short term debt ratio model lderit=ÃŽ ²0+ÃŽ ²1(prof)+ ÃŽ ²2(liq)+ ÃŽ ²3(tang)+ ÃŽ ²4(gro)+ ÃŽ ²5(infl)+ ÃŽ ²6(bnkrt)+ ÃŽ ²7(tax) +ÃŽ ²8(cod)+ ÃŽ ²9(age)+ ÃŽ ²10(size)+ uit Long term debt ratio model is sderit=ÃŽ ²0+ÃŽ ²1(prof)+ ÃŽ ²2(liq)+ ÃŽ ²3(tang)+ ÃŽ ²4(gro)+ ÃŽ ²5(infl)+ ÃŽ ²6(bnkrt)+ ÃŽ ²7(tax) +ÃŽ ²8(cod)+ ÃŽ ²9(age)+ ÃŽ ²10(size)+ uit Total debt model is derit=ÃŽ ²0+ÃŽ ²1(prof)+ ÃŽ ²2(liq)+ ÃŽ ²3(tang)+ ÃŽ ²4(gro)+ ÃŽ ²5(infl)+ ÃŽ ²6(bnkrt)+ ÃŽ ²7(tax) +ÃŽ ²8(cod)+ ÃŽ ²9(age)+ ÃŽ ²10(size)+ uit Where, Lder=long term debt ratio define by long term debt/book value of equity sder =short term debt ratio define as short term debt/ book value of equity der= total debt ratio estimate by total debt by /book value of equity i= number of companies or panel (175 firms); t= time variable (here 5 years); ÃŽ ²0=stand for model constant; ÃŽ ²1 to 10= co-efficiency of independent variables; Independent variables pro = profitability of firm defined by EBIT/ sales liq= liquidity is by total current asset divided current liability Tang= tangibility, it identified by net tangible asset to total asset gro= growth rate in total asset of a firm infl= economic inflation factors (CPI) bnkrt = bank rate fixed by RBI tax = tax liability defined by profit after tax to profit before tax cod = cost of debt calculated as interest /total outsider liability age =age of a firm; firm older than 10 years give value ‘1’ otherwise ‘0’ size = size of a firm defined by getting natural logarithm of Size ; uit =error term the research designed on the base of above said panel data models. 1.7.2 Sources and Data In this research all data are secondary nature, Data are collected by using CMIE and Bloomberg Database, some variable like bank rate and inflation are collected from Reserve bank of India website. For the research researcher collect five year data of 175 textiles companies which listed in both NSE and BSE are collected. The textiles industry is selected by pre study explained in Para 1.1.1 1.7.3 Data Analysis Data are analysed using panel data methods, which include time and cross sectional factors.. The three econometric models, short term leverage model, long term leverage model, total leverage model are analysed by various panel data tools. For analysing researcher used Stata11 software and Microsoft excel. The tools used for the analysing are listed below: Pooled OLS regression If individual effect ui (cross-sectional or time specific effect) does not exist (ui =0), ordinary least squares (OLS) produces efficient and consistent parameter estimates Yit =ÃŽ ± + Xit ÃŽ ² +ÃŽ µit (ui =0) It used regress a data irrespective of time and cross sectional values Fixed effect Fixed effect models are designed to study the causes of variation within a panel group or entity. a time invariant characteristic cannot used such a changes because each entity is constant for each person. Random effect A random effect model assumes that individual effect (heterogeneity) is not correlated with any regresses and then estimates error variance specific to groups (or times). Breusch-Pagan Lagrange multiplier (LM) Lag model test is a post estimation test it is used for checking randomness in study it assumed that there is no random effect estimates. Mainly used for choose best model, pooled OLS or Random effect Hausman test for fixed effect Hausman test also post estimator test it is used find out fixed effect in estimation. It analyses deviation of Two estimation model fixed and random model, and interpret is there any fixed effect or not. 1.8 Chapterisation This research report consist five chapters , first chapter consist introduction part it is give a basic idea about how the research is designed and including identifying research problem data source a tools used . in this chapter reported objective of the study and various hypotheses set for further research The second chapter is provide literature review, various studies conducted in same area and related area. This is providing a clear idea about previous studies nationally and internationally. So researcher can set research gap through this chapter. The third chapter is belonging to theoretical frame work, various theory related to this research are described there. It is used to providing a clear cut idea about theoretical frame and subject knowledge in researched area The forth chapter is analyses part it detail description of analysis with fixed and random methods and other test used. Fifth chapter is last chapter it consist finding and suggestions in the research . 1.9 Limitation The research study has various limitation are Time span of research is very less, so it is not possible cover all minor part of research area. The panel data collection is crucial stage, the data availability and collecting each and every observation for panel is difficult task The study only five year data it may be influenced extreme variables like economic depression and law changed Lack of knowledge and lack of expert in panel data analyses is limitation in this research Variable, which is not stated in the research may cause to influence dependant variables. Research is may not be free from clerical and human error so its result and interpretation has may vary

Central Dogma

The Central Dogma of Molecular Biology was founded by Francis Crick in 1958. A central dogma of biology provides an explanation as to how gene expression occurs. The central dogma is the main thesis of molecular inheritance. It states that DNA makes RNA, which makes protein. Genes control the traits by controlling which proteins are made. The process of Central Dogma of Molecular Biology is when DNA transcripts into RNA and then translates into protein. Transcription is the transfer of genetic information from DNA forming into RNA.The differences between DNA and RNA are the sugar that’s in DNA which is called deoxyribose and ribose for RNA which does not have sugar. When DNA replication begins, it begins at a specific point in the DNA molecule called the origin of replication site. The enzyme helicase unwinds and separates a portion of the DNA molecule. After the DNA polymerase separates a portion of the molecule it then initiates the process of replication in which DNA polyme rase can add new nucleotides to a pre-existing chain of nucleotides.Therefore, replication begins as an enzyme called primase and it assembles an RNA primer at the origin of the replication site. The RNA primer consists of a sequence of RNA nucleotides, complementary to a section of the DNA strand that is being prepared for replication. The RNA primer is then removed and replaced with a sequence of DNA nucleotides. Then Okazaki fragments are synthesized and the RNA primers are replaced with DNA nucleotides and the individual Okzaki fragments are bonded together into a continuous complementary strand.During transcription deoxyribose nucleic acid is formed into another nucleic acid which is ribonucleic acid or RNA. Transcription begins when RNA polymerase binds onto the double stranded DNA molecule. RNA polymerase moves along the strand of DNA making a complementary single stranded RNA molecule. Here’s a good thing you could remember, take the root word ‘scribe’ ou t of transcription and think of it was a person who writes copies of important documents because that is what scribe means.Next is translation, it is the process of using the code in RNA to put together the protein and translation is a word that describes the transfer of information from one to another. Translation begins when messenger RNA binds to the ribosome. The RNA passes along the ribosome and brings out 3 nucleotides at a time. While that’s happening the amino acid that is being carried is also being transferred to the amino acid chain. After that is done the ribosomal complex falls apart and the protein is released into a cell.During protein synthesis, amino acids build a protein molecule that’s, of course, called protein synthesis. Synthesis means ‘putting together’, so that is a good way to remember protein synthesis. Protein synthesis is the cellular process of building proteins. Translation has a part of the central dogma that is also included in protein synthesis and transcription is not. Translation is just the decoding of RNA to make a chain of amino acids that will then, later, turn into protein. Overall in central dogma, DNA is simply the instructions to making proteins.

BYU-Idaho Acceptance Rate, SAT/ACT Scores, GPAs

Brigham Young University - Idaho is a private university with an acceptance rate of 97%. Founded in 1888, BYU - Idaho is located on a 430-acre campus in Rexburg, a small city in eastern Idaho with easy access to Yellowstone and Grand Teton National Parks. Brigham Young University - Idaho is affiliated with The Church of Jesus Christ of Latter-Day Saints. The universitys curriculum is steeped in its religious identity and all courses and programs work to develop students both academically and spiritually. All students must adhere to a strict honor code, and many BYUI students take two years off from college to participate in missionary work. Students can choose from over 87 bachelors degree programs, and the university also offers a range of associate degree programs and online programs. Education, health, and business fields are among the most popular. Considering applying to BYUI? Here are the admissions statistics you should know, including average SAT/ACT scores and GPAs of admitted students. Acceptance Rate During the 2017-18 admissions cycle, Brigham Young University - Idaho had an acceptance rate of 97%. This means that for every 100 students who applied, 97 students were admitted, making BYUIs admissions process less competitive. Admissions Statistics (2017-18) Number of Applicants 9,998 Percent Admitted 97% Percent Admitted Who Enrolled (Yield) 46% SAT Scores and Requirements BYU - Idaho requires that all applicants submit either SAT or ACT scores. During the 2017-18 admissions cycle, 27% of admitted students submitted SAT scores. SAT Range (Admitted Students) Section 25th Percentile 75th Percentile ERW 510 620 Math 500 590 ERW=Evidence-Based Reading and Writing This admissions data tells us that most of BYU - Idahos admitted students fall within the top 35% nationally on the SAT. For the evidence-based reading and writing section, 50% of students admitted to BYUI scored between 510 and 620, while 25% scored below 510 and 25% scored above 620. On the math section, 50% of admitted students scored between 500 and 590, while 25% scored below 500 and 25% scored above 590. Applicants with a composite SAT score of 1210 or higher will have particularly competitive chances at Brigham Young University - Idaho. Requirements BYU - Idaho does not require the SAT writing section or SAT Subject tests. Note that Brigham Young University - Idaho participates in the scorechoice program, which means that the admissions office will consider your highest score from each individual section across all SAT test dates. ACT Scores and Requirements Brigham Young University - Idaho requires that all applicants submit either SAT or ACT scores. During the 2017-18 admissions cycle, 76% of admitted students submitted ACT scores. ACT Range (Admitted Students) Section 25th Percentile 75th Percentile English 19 26 Math 18 25 Composite 20 26 This admissions data tells us that most of BYUIs admitted students fall within the top 49% nationally on the ACT. The middle 50% of students admitted to Brigham Young University - Idaho received a composite ACT score between 20 and 26, while 25% scored above 26 and 25% scored below 20. Requirements Brigham Young University - Idaho does not require the ACT writing section. Unlike many universities, BYUI superscores ACT results; your highest subscores from multiple ACT sittings will be considered. GPA In 2018, the average, unweighted high school GPA of Brigham Young University - Idahos incoming freshman class was 3.5. This information suggests that most successful applicants to BYU - Idaho have primarily high B grades. Self-Reported GPA/SAT/ACT Graph Brigham Young University - Idaho Applicants Self-Reported GPA/SAT/ACT Graph. Data courtesy of Cappex. The admissions data in the graph is self-reported by applicants to Brigham Young University - Idaho. GPAs are unweighted. Find out how you compare to accepted students, see the real-time graph, and calculate your chances of getting in  with a free Cappex account. Admissions Chances In spite of its high acceptance rate, BYU - Idaho has a selective admissions process. The requirements for Brigham Young University - Idaho are different from most four-year colleges and universities. With its strong affiliation with The Church of Jesus Christ of Latter-day Saints, BYUIs admissions guidelines include several church-related elements. Applicants must all be church members in good standing, and they will need an endorsement from their bishop/branch president (or mission president if the applicant is currently doing missionary work).   In addition to the church-related admission requirements, BYU - Idaho has a  holistic admissions process involving factors beyond grades and test scores. A strong  application essay can strengthen your application, as can participation in meaningful  extracurricular activities,  including clubs, church groups, or work experiences, and a rigorous course schedule, including AP, IB, Honors, and Dual Enrollment classes. Students with particularly compelling stories or achievements can still receive serious consideration even if their test scores and grades are outside of Brigham Young University - Idahos average range. In the graph above, the green and blue dots represent students who were admitted, while the red dots represent rejected students. You can see that nearly all applicants to BYU-Idaho were admitted, and the school reports an acceptance rate near 100%. This does not mean that the school has low admissions standards or open admissions. Rather, the BYU - Idaho applicant pool is highly self-selecting. The graph shows that the great majority of admitted students had averages of B or better, SAT scores of 950 or higher, and ACT scores of 19 or higher. All admissions data has been sourced from the National Center for Education Statistics and Brigham Young University - Idahos Undergraduate Admissions Office.

What US Census Takers Do

Americans who, for whatever reason, do not complete and return a Census Bureau questionnaire can expect a personal visit from a census taker or enumerator.What do the enumerators -- census takers -- have to do? According to Census Bureau Director Kenneth W. Prewitts April 5, 2000 testimony to the House Subcommittee on the Census, Each enumerator is given a binder of addresses in that area that includes all those addresses for which we have not received a completed questionnaire. Because houses without numbers and street name addresses can be difficult to find, enumerators in rural areas also receive maps that have the housing unit locations spotted on them. The enumerator must go to each address in the assignment area to complete the appropriate questionnaire (either short form or long form) for the housing unit and its occupants. Census Taker Key Takeaways Census Takers, or â€Å"Enumerators,† are employees of the U.S. Census Bureau who visit the homes of individuals who do not complete and return a census questionnaire. The Census Taker will interview any available adult member of the household in order to complete the census questionnaire.The Census Taker will make at least six attempts to visit the home, contact a resident, and complete the questionnaire.Like all Census Bureau employees, Census Takers are strictly prohibited by law from divulging any information gathered and may be fined and imprisoned for doing so. For each address, the enumerator must: Interview a household member at least 15 years of age and completes the assigned questionnaire. If the unit was occupied by a different household on Census Day, the enumerator completes a questionnaire for the occupants who lived there on Census Day by interviewing a knowledgeable person, such as a neighbor.If the current occupants were not enumerated elsewhere, the enumerator will also complete a census questionnaire for them for their Census Day address.If the housing unit was vacant on Census Day, the enumerator completes appropriate housing questions on the questionnaire by interviewing a knowledgeable person, such as a neighbor or apartment house manager.If the housing unit was demolished or otherwise nonexistent under census definitions, the enumerator completes a questionnaire that provides the reason why the unit should be deleted from the census address list, by interviewing a knowledgeable respondent such as a neighbor or apartment house manager. What if nobody's home? Will the census taker just go away? Yes, but he or she will most certainly be back. The enumerator must make up to six attempts to contact the resident and complete a questionnaire.If no one is home at an occupied housing unit, the enumerator obtains as much information as possible about how to contact the occupants from a neighbor, building manager, or another source.The enumerator also leaves a notice at the address that they have visited and provides a telephone number so the occupant can call back.The enumerator then makes up to two additional personal visits (3 in all) and three telephone attempts at contacting the household before obtaining as much information as possible to complete the questionnaire from a knowledgeable source. Enumerators are instructed to make their callbacks on different days of the week and at different times of day.The enumerator must maintain a record of callbacks that lists each type of callback made (telephone or personal visit) and the exact date and time it occurred. Enumerators are expected to obtain complete interviews but must o btain at least the status (occupied or vacant) and the number of people living in the unit.br/>If the enumerator submits a questionnaire that contains this minimal level of data, the crew leader must check the enumerators record of callbacks for the housing unit to determine that procedures were properly followed. The crew leader also holds these cases for possible further follow-up to obtain more complete data. Crew leaders meet daily with each enumerator to pick up and check completed work.Crew leaders are expected to make sure that the enumerators produce quality work at a rate of 1 to 1.5 completed questionnaires per hour depending on the type of area covered. Crew leaders check each completed questionnaire for completeness and accuracy.In order to prevent falsification of the data by enumerators, a percentage of each enumerators work is verified for accuracy by a re-interview staff. This staff verifies a sample of each enumerators work and may also verify additional questionnaires from enumerators whose work differs significantly from that of other enumerators working for the same crew leader. An enumerator who is discovered falsifying data is dismissed immediately and all the work must be redone by another enumerator. And so it goes until a completed census questionnaire has been completed and turned into the local census office for every housing unit address in America.Like all other employees of the Census Bureau, enumerators are subject by law to severe penalties including imprisonment for divulging information outside of the required scope of their job. And remember, answering all census  questionnaires is required by law.   Census Taker Jobs for the 2020 Census With the 2020 Census fast approaching, the U.S. Census Bureau is now recruiting, hiring, and training thousands of people nationwide for temporary jobs.To be eligible for all 2020 Census job, you must:Be at least 18 years old.Have a valid Social Security number.Be a U.S. citizen.Have a valid email address.Complete an application and answer assessment questions. (Some assessment questions are available in Spanish. However, an English proficiency test may also be required.)Be registered as required by law with the Selective Service System or have a qualifying exemption, if you are a male born after Dec. 31, 1959.Pass a Census-performed criminal background check and a review of criminal records, including fingerprinting.Commit to completing training.Be available to work flexible hours, which can include days, evenings, and/or weekends.For most jobs—especially Census Taker—applicants must:Have a valid driver’s license and access to a vehicle, unless public transporta tion is readily available; andHave access to a computer with internet and an email account (to complete training).Persons interested in part or full-time census jobs may apply online at the Census Bureau’s very secure Census Careers Site. The application process takes about 30 minutes. You will need to provide your Social Security number, home address, email address, phone number, and your date and place of birth.